{"id":53794,"date":"2022-06-30T08:50:12","date_gmt":"2022-06-30T08:50:12","guid":{"rendered":"https:\/\/www.kyomedinnov.com\/health-data\/"},"modified":"2023-03-22T11:03:55","modified_gmt":"2023-03-22T11:03:55","slug":"health-data","status":"publish","type":"page","link":"https:\/\/www.kyomedinnov.com\/en\/health-data\/","title":{"rendered":"Health Data"},"content":{"rendered":"

[et_pb_section fb_built=”1″ custom_padding_last_edited=”on|phone” _builder_version=”4.19.0″ _module_preset=”default” background_color=”rgba(255,255,255,0.4)” background_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/11\/Photo-analyse-de-donnees-Grand.jpg” background_position=”top_center” background_blend=”lighten” custom_padding_tablet=”” custom_padding_phone=”20px||0px||false|false” global_colors_info=”{}”][et_pb_row column_structure=”3_5,2_5″ make_equal=”on” _builder_version=”4.19.0″ _module_preset=”default” custom_margin_tablet=”” custom_margin_phone=”” custom_margin_last_edited=”on|phone” custom_padding=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.17.4″ _module_preset=”f4ff139c-0359-41ab-b704-8fc8be2fb738″ background_color=”RGBA(255,255,255,0)” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”dfbe3125-1f7b-4cbd-b42a-bdc4f1db2bda” global_colors_info=”{}”]<\/p>\n

Health Data<\/h1>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.17.6″ _module_preset=”default” custom_padding_tablet=”20px||||false|false” custom_padding_phone=”20px||||false|false” custom_padding_last_edited=”on|tablet” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/09\/donnees-de-sante.svg” alt=”health data kyomedinnov” title_text=”health-data” align=”center” align_tablet=”center” align_phone=”center” align_last_edited=”on|desktop” _builder_version=”4.19.4″ _module_preset=”default” width=”80%” width_tablet=”50%” width_phone=”40%” width_last_edited=”on|tablet” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”||0px||false|false” custom_padding_phone=”||0px||false|false” global_colors_info=”{}”][et_pb_row custom_padding_last_edited=”on|phone” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}” custom_padding__hover_enabled=”off|desktop”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”85a836e9-8847-4308-9e3f-ce20dc0f2448″ global_colors_info=”{}”]<\/p>\n

In the healthcare sector, data is a key element. The advent of digital technology opens up new opportunities to collect and store a wealth of information.
Unfortunately, more and more data does not mean better quality or better treatments. This is why KYomed INNOV proposes to accompany you in this universe of health data.<\/p>\n

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In digital health, this data is therefore collected through sensors<\/strong>, connected medical devices<\/strong>, applications<\/strong> or questionnaires<\/strong>, which then need to be processed and used.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ make_equal=”on” custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”15px||||false|false” custom_padding_tablet=”15px||15px||true|false” custom_padding_phone=”15px||15px||true|false” custom_padding_last_edited=”on|tablet” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

We accompany you in this analysis<\/strong> and the valorisation<\/strong> of your data<\/strong> in order to meet your needs in terms of :<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Clinical studies<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Scientific research<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Use<\/strong> of your digital health solution<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Development of algorithms<\/strong> or artificial intelligence<\/strong> (A.I.)<\/span><\/span><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/insurance-healthcare-doctor-analyzing-medical-report-and-medical-on-hospital-background-Personnalise.jpg” alt=”health data” title_text=”Insurance Healthcare Doctor analyzing medical report and medic” _builder_version=”4.19.5″ _module_preset=”a1ca4c43-39cf-4674-8db0-cf5c7d50981f” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row make_equal=”on” module_class=”inverse” _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” custom_padding_last_edited=”off|tablet” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

The exponential growth<\/strong> of digital data also creates a need for anticipation<\/strong>. Indeed, the design and management of a health database<\/strong> must be based on a reliable structure<\/strong> that complies with current standards<\/strong>. This requires anticipating this structuring upstream of data collection, then constantly monitoring its evolution.<\/p>\n

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For this mission, our team and our partners accompany you in the management of your data. Because security<\/strong> is one of our priorities, we also ensure that it is consistent with the regulations<\/strong> while making it usable for a purpose of use<\/strong>, marketing<\/strong> or clinical study<\/strong>.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”4.19.1″ _module_preset=”34a86d6c-a6ae-4c46-8166-be640ef83b27″ background_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/09\/donnees-de-sante-gris.svg” background_horizontal_offset=”-4%” global_colors_info=”{}”][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][dipi_text_highlighter text_highlighter_text=”Management of your health data” highlight_shape=”strikethrough” text_wrapper_tag=”h4″ highlight_animation_repeat_mode=”definite” _builder_version=”4.20.2″ _module_preset=”f0508cbb-f909-49fb-96e4-4ab87c30e9cf” all_text_text_align=”center” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/dipi_text_highlighter][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”1_5,1_5,1_5,1_5,1_5″ use_custom_gutter=”on” gutter_width=”2″ make_equal=”on” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”1_5″ _builder_version=”4.19.1″ _module_preset=”default” background_enable_color=”off” custom_css_main_element=”width: 32% !important;” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”width: 100% !important;” custom_css_main_element_phone=”width: 100% !important;”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icone_rond-1.png” title_text=”icone_rond 1″ url=”#methodo” show_bottom_space=”off” _builder_version=”4.19.1″ _module_preset=”default” positioning=”relative” vertical_offset=”35px” horizontal_offset=”25px” z_index=”1″ vertical_offset_tablet=”50px” vertical_offset_phone=”40px” vertical_offset_last_edited=”on|phone” width=”35%” width_tablet=”20%” width_phone=”30%” width_last_edited=”on|tablet” custom_margin=”||||false|false” custom_margin_tablet=”-5%||||false|false” custom_margin_phone=”-5%||||false|false” custom_margin_last_edited=”on|tablet” animation_style=”slide” animation_delay=”200ms” animation_speed_curve=”ease-out” global_colors_info=”{}”][\/et_pb_image][et_pb_blurb title=”Health Data Analysis” _builder_version=”4.19.4″ _module_preset=”default” header_font=”|600|||||||” header_font_size=”25px” body_font=”||||||||” background_color=”#FFFFFF” text_orientation=”center” custom_padding=”40px|20px|30px|20px|false|true” animation_style=”slide” animation_direction=”top” animation_delay=”400ms” animation_intensity_slide=”10%” animation_speed_curve=”ease-out” link_option_url=”#analyse” header_font_size_tablet=”22px” header_font_size_phone=”22px” header_font_size_last_edited=”on|desktop” border_radii=”on|30px|30px|30px|30px” box_shadow_style=”preset3″ global_colors_info=”{}”]<\/p>\n

Interpret and identify the added value of your health data<\/em><\/p>\n

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Make your health data more useful and relevant<\/em><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_css_main_element=”width: 1% !important;” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”width: 100% !important;||margin: 0;” custom_css_main_element_phone=”width: 100% !important;||margin: 0;”][et_pb_icon font_icon=”5||divi||400″ icon_color=”#293540″ font_icon_tablet=”3||divi||400″ font_icon_phone=”3||divi||400″ font_icon_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” positioning=”absolute” vertical_offset=”145px” horizontal_offset=”-45px” vertical_offset_tablet=”0px” vertical_offset_phone=”250px” vertical_offset_last_edited=”on|tablet” horizontal_offset_tablet=”0px” horizontal_offset_phone=”0px” horizontal_offset_last_edited=”on|tablet” position_origin_a_tablet=”top_center” position_origin_a_phone=”center_center” position_origin_a_last_edited=”on|phone” position_origin_f_tablet=”” position_origin_f_phone=”” position_origin_f_last_edited=”on|phone” position_origin_r_tablet=”” position_origin_r_phone=”” position_origin_r_last_edited=”on|phone” custom_margin_tablet=”-3%||-20%||false|false” custom_margin_phone=”10%||||false|false” custom_margin_last_edited=”on|tablet” animation_style=”fade” animation_delay=”600ms” positioning_tablet=”absolute” positioning_phone=”absolute” positioning_last_edited=”on|desktop” locked=”off” global_colors_info=”{}” custom_css_main_element_last_edited=”on|tablet” custom_css_main_element_tablet=”width: 100% !important;||margin: 0;” custom_css_main_element_phone=”width: auto;”][\/et_pb_icon][\/et_pb_column][et_pb_column type=”1_5″ _builder_version=”4.19.1″ _module_preset=”default” background_enable_color=”off” custom_css_main_element=”width: 32% !important;” global_colors_info=”{}” custom_css_main_element_last_edited=”on|phone” custom_css_main_element_tablet=”width: 100% !important;||margin-top: -5%;” custom_css_main_element_phone=”margin-top: -10% !important;||width: 100% !important;”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icone_rond-3.png” title_text=”icone_rond 3″ url=”#scac” show_bottom_space=”off” _builder_version=”4.19.1″ _module_preset=”default” positioning=”relative” vertical_offset=”35px” horizontal_offset=”25px” z_index=”1″ vertical_offset_tablet=”50px” vertical_offset_phone=”40px” vertical_offset_last_edited=”on|phone” width=”35%” width_tablet=”20%” width_phone=”30%” width_last_edited=”on|tablet” animation_style=”slide” animation_delay=”1200ms” animation_speed_curve=”ease-out” global_colors_info=”{}”][\/et_pb_image][et_pb_blurb title=”Path of your data” _builder_version=”4.19.4″ _module_preset=”default” header_font=”|600|||||||” header_font_size=”25px” background_color=”#FFFFFF” text_orientation=”center” custom_padding=”40px|20px|30px|20px|false|true” animation_style=”slide” animation_direction=”top” animation_delay=”1400ms” animation_intensity_slide=”10%” animation_speed_curve=”ease-out” link_option_url=”#parcours” header_font_size_tablet=”22px” header_font_size_phone=”22px” header_font_size_last_edited=”on|desktop” border_radii=”on|30px|30px|30px|30px” box_shadow_style=”preset3″ global_colors_info=”{}”]<\/p>\n

Stay within an ethical and regulatory framework on the use of your data<\/em><\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”off|tablet” module_id=”analyse” _builder_version=”4.19.1″ _module_preset=”_initial” background_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/09\/donnees-de-sante-gris.svg” background_size=”custom” background_image_width=”23%” background_position=”center_right” background_horizontal_offset=”-4%” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.17.4″ _module_preset=”2f02c485-6fbd-444b-8389-5d5a1aca54f6″ global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.19.0″ _module_preset=”0294cc11-a8bb-4cff-a429-6bb8a3a07242″ global_colors_info=”{}”]<\/p>\n

Health Data Analysis<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.4″ _module_preset=”default” header_4_font_size=”27px” header_4_font_size_tablet=”24px” header_4_font_size_phone=”22px” header_4_font_size_last_edited=”on|phone” global_colors_info=”{}”]<\/p>\n

Statistical analysis is the only way to interpret health data and identify their added value in a meaningful way.<\/h4>\n

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Together, and according to your objectives, we adapt our biostatistical<\/strong>, biomathematical<\/strong> or bioinformatics methods<\/strong> to enable you to :<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Describe<\/strong> your data<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Identify significant differences<\/strong> in your sample<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Evaluate the predictive power<\/strong> of your data\/marker combinations<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Evaluate the diagnostic performance<\/strong> of your markers of interest (sensitivity and specificity)<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Analyze concordance<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Analyze survival<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Identify risk<\/strong> and protective factors in the population of interest (epidemiology<\/strong>)<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Classify<\/strong> your data<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Identify and separate clusters<\/strong>\/groups of individuals<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Model<\/strong> a phenomenon of interest (algorithmic)<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Build an algorithm<\/strong> or an artificial intelligence<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.0″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

…<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I need help to analyze my data” _builder_version=”4.19.1″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” module_id=”valorisation” _builder_version=”4.19.1″ _module_preset=”34a86d6c-a6ae-4c46-8166-be640ef83b27″ background_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/09\/donnees-de-sante-gris.svg” background_horizontal_offset=”-5%” background_vertical_offset=”58%” custom_padding_tablet=”70px||||false|false” custom_padding_phone=”70px||||false|false” background_last_edited=”on|phone” background_enable_image_phone=”off” background_horizontal_offset_phone=”-5%” background_vertical_offset_phone=”35%” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider _builder_version=”4.17.4″ _module_preset=”2f02c485-6fbd-444b-8389-5d5a1aca54f6″ global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.19.0″ _module_preset=”0294cc11-a8bb-4cff-a429-6bb8a3a07242″ global_colors_info=”{}”]<\/p>\n

Valuation of your data<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” custom_padding_tablet=”0px||10px||false|false” custom_padding_phone=”0px||10px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

KYomed INNOV and its team can assist you in making the most of your data<\/strong> at several levels:<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Internally<\/strong>, to better understand how your customers use your solution in order to improve it;<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

For your users<\/strong> to improve the perceived value of your solution to them;<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Externally<\/strong>, with actors potentially interested in the data you generate.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ make_equal=”on” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||30px||false|false” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Thanks to our mastery of databases and statistics, we work with the data generated by your healthcare solution to make it as useful<\/strong> and relevant<\/strong> as possible.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Whether the data comes from connected devices, sensors or even algorithms or Artificial Intelligence (A.I.), we support you in the process of structuring<\/strong> and valuing<\/strong> them.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/medical-technology-conceptsmart-doctor-hand-working-with-modern-laptop-computer-with-his-team-virtual-icon-Personnalise.jpg” title_text=”medical technology concept,smart doctor hand working with modern” _builder_version=”4.19.1″ _module_preset=”a1ca4c43-39cf-4674-8db0-cf5c7d50981f” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][dipi_text_highlighter text_highlighter_text=”Internally, for your company” highlight_shape=”strikethrough” text_wrapper_tag=”h3″ highlight_animation_repeat_mode=”definite” module_class=”moyen” _builder_version=”4.20.2″ _module_preset=”f0508cbb-f909-49fb-96e4-4ab87c30e9cf” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/dipi_text_highlighter][et_pb_text _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

The data generated around your solution can initially be used internally.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.4″ _module_preset=”ca37daa3-af58-4afa-93ae-07c7dfd9828b” header_4_text_shadow_color=”#EEEEEE” global_colors_info=”{}”]<\/p>\n

Data analysis in the context of a scientific research or an innovative project<\/h4>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

In the context of scientific research<\/strong> on patients<\/strong>, the data collected to follow the evolution of a pathology, or the impact of a therapy may at first appear to be uncorrelated. A thorough analysis<\/strong> is then necessary to try to combine<\/strong> some of the measured parameters<\/strong> and identify<\/strong> markers<\/strong> correlated<\/strong> with the evolution of the pathology for example.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”d4b4e832-696b-4521-820b-303d99dd66ae” global_colors_info=”{}”]<\/p>\n

Attention, to comply with GDPR<\/strong>, it is necessary to justify the collection of data<\/strong>, to describe the use<\/strong> that will be made of it and to optimize the volume<\/strong> of data collected. It is not possible to collect data without objective and justification.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

This type of analysis allows, once the data of interest have been collected, to consider several parameters and to test combinations<\/strong> to identify and select relevant and specific health markers<\/strong>. This combination of markers is called a pathology signature<\/strong>.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ make_equal=”on” custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||0px||true|false” custom_padding_tablet=”||20px||false|false” custom_padding_phone=”||20px||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”||20px||false|false” custom_padding_phone=”||20px||false|false” custom_padding_last_edited=”on|tablet” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The statistician will use the most appropriate biomathematical, biostatistical and bioinformatics methods to integrate<\/strong> and analyze<\/strong> the collected health data in a univariate<\/strong> or combinatorial<\/strong> way, to identify possible combinations of health markers<\/strong>.<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The best combinations will be selected based on statistical performance<\/strong>, clinical relevance<\/strong> and practicality, taking into account feasibility<\/strong> in the field.<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Once selected, these markers will go through an analytical validation<\/strong> step that consists of providing solid evidence<\/strong> of specificity, sensitivity, robustness, detection limits, accuracy, repeatability, and reproducibility of the analytical procedure.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/doctor-holding-security-padlock-wheel-icon-with-multimedia-and-social-media-icon-Personnalise.jpg” title_text=”Doctor holding a Security padlock wheel icon with multimedia and social media icon 3d rendering” _builder_version=”4.19.1″ _module_preset=”a1ca4c43-39cf-4674-8db0-cf5c7d50981f” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I want to identify markers in my data” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”ca37daa3-af58-4afa-93ae-07c7dfd9828b” global_colors_info=”{}”]<\/p>\n

Statistical analysis of data in a clinical study<\/h4>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

Data valorization<\/strong> through statistical analysis is also implemented in the framework of a clinical study<\/strong>.<\/p>\n

In<\/span>deed,<\/span> before the realization of a clinical investigation, we choose and build together the methodology and the design of your study.<\/span> This methodology<\/strong> is established to<\/span> find the best possible way to valorize your solution<\/strong><\/span> and its impact<\/strong> through the collected data.<\/span><\/span> <\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||0px||true|false” custom_padding_phone=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.0″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

In this essential phase, the statistician intervenes to:<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Determine the number of subjects needed<\/strong> (NSN)<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Write the statistical analysis plan<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” custom_padding=”10px||||false|false” global_colors_info=”{}”]<\/p>\n

Then, following the realization of the clinical investigation and thus the collection of data as well as the data management, comes the stage of statistical analysis<\/strong>. This analysis is carried out according to the statistical analysis plan established in the study methodology and written in the protocol.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/Rstudio-Personnalise.jpg” title_text=”Rstudio (Personnalis\u00e9)” _builder_version=”4.19.1″ _module_preset=”7b8db442-b654-4253-a145-2bb889cd02ce” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_margin=”20px||||false|false” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”d4b4e832-696b-4521-820b-303d99dd66ae” global_colors_info=”{}”]<\/p>\n

Within this regulated framework<\/strong>, the analysis cannot differ from what was chosen in the upstream phase. If the results are not significant and therefore do not validate the objectives of the study, unfortunately nothing can be changed. This is why the methodology<\/strong> and design<\/strong> phase of the study is essential<\/strong>.<\/p>\n

[\/et_pb_text][et_pb_blurb title=”Deliverable :” image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icone_livrables-2.png” _builder_version=”4.19.1″ _module_preset=”99d736ba-ec92-4cf8-878c-35f6a34a30ab” global_colors_info=”{}”]<\/p>\n

Following this analysis, a statistical report<\/strong> is written and integrated into the clinical report<\/strong>.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” custom_padding_tablet=”10px||||false|false” custom_padding_phone=”10px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I need to frame the statistics of my clinical study” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”ca37daa3-af58-4afa-93ae-07c7dfd9828b” global_colors_info=”{}”]<\/p>\n

Data analysis when using a digital health solution<\/h4>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.0″ _module_preset=”96c37295-f957-4667-b1e3-310a6b396050″ global_colors_info=”{}”]<\/p>\n

Thanks to the use of your solution, data are brought back to you:<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

By<\/span> your solution<\/strong> directly<\/span>, via usage<\/strong><\/span> statistics<\/span><\/strong> (time spent<\/span> on the solution, on a screen, user path, interaction with buttons, …)<\/span><\/span> <\/span><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

By your users<\/strong>, in the feedback<\/strong> they can give you<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”10px||||false|false” custom_padding_phone=”10px||||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”” custom_padding_phone=”” custom_padding_last_edited=”on|tablet” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

This user experience data is very rich and can bring a lot to the table if it is properly processed<\/strong>, investigated<\/strong>, and implemented<\/strong>. The main objective of processing this data is to improve the experience of your users when using your solution<\/strong>. This may involve:<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie-150×150.png.webp” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” global_colors_info=”{}”]<\/p>\n

Understanding<\/strong> the solution and how it<\/span> works<\/span><\/span> <\/span><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie-150×150.png.webp” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” global_colors_info=”{}”]<\/p>\n

The logic of the user path<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie-150×150.png.webp” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” global_colors_info=”{}”]<\/p>\n

Interactions<\/strong> with the different CTAs (Call To Action)<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/hand-touching-air-of-mobile-technology-interface-Personnalise.jpg” title_text=”Digital composite of Hand Touching air of mobile technology interface” _builder_version=”4.19.1″ _module_preset=”a1ca4c43-39cf-4674-8db0-cf5c7d50981f” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

We can help you in these steps by exploiting this UX data to improve the adherence<\/strong> and acceptability<\/strong> of your solution by your users. We can also work with you on optimizing<\/strong> the data collected and the questions asked in order to qualify<\/strong> the data collection on your solution.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I need to optimize the use of my solution” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][dipi_text_highlighter text_highlighter_text=”For your users and the perceived added value of your solution” highlight_shape=”strikethrough” text_wrapper_tag=”h3″ highlight_animation_repeat_mode=”definite” module_class=”treslong” _builder_version=”4.20.2″ _module_preset=”f0508cbb-f909-49fb-96e4-4ab87c30e9cf” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/dipi_text_highlighter][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

The data reported by your users<\/strong> can be an important source of ideas<\/strong>. It can allow you to work and increase the added value<\/strong> for your users and thus the potential<\/strong> of your solution. We accompany you in this analysis of your data to identify the keys to optimization<\/strong> and their power of innovation<\/strong>.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”ca37daa3-af58-4afa-93ae-07c7dfd9828b” global_colors_info=”{}”]<\/p>\n

Use of your data for your users<\/h4>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The processing<\/strong> of your data can take place at several levels. You can decide to provide your users with what is called “raw data<\/strong>“, for example when you present an electrocardiogram to a cardiologist. He knows how to read and interpret it. In this case your perceived value<\/strong> remains limited<\/strong>.<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

If you decide to integrate an algorithm<\/strong> or an artificial intelligence<\/strong> to this treatment then you will be able to pre-detect<\/strong> heart rhythm pathologies. This second level allows the cardiologist to save time<\/strong> and to focus on and validate only the problematic segments of his recording. Your perceived value<\/strong> starts to become important<\/strong>.<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

If you then decide toaggregate<\/strong> different factors<\/strong> in addition to the ECG you may be able to build new health markers<\/strong> to be protected by intellectual property and that will allow your users not only to save time but also to have simplified diagnoses or an aggregation of relevant data to refine their diagnosis<\/strong>.<\/p>\n

[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2023\/01\/ECG-avec-artefact-2.jpg” title_text=”ECG-avec-artefact-2″ show_in_lightbox=”on” align=”center” _builder_version=”4.19.4″ _module_preset=”default” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”4.19.1″ _module_preset=”c1b993af-55f0-4dd9-be84-956db0acf520″ global_colors_info=”{}”]<\/p>\n

The different levels of data processing from the simplest to the most complex<\/h5>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I need to increase the perceived value of my solution” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”||0px||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”ca37daa3-af58-4afa-93ae-07c7dfd9828b” global_colors_info=”{}”]<\/p>\n

UI Visualization and Combining New Markers<\/h4>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

Data<\/span> visualization<\/strong><\/span> is playing an increasingly important role in helping us make sense<\/strong> of the billions of rows of data generated every day. Our guidance will help you highlight trends and unusual values while eliminating irrelevant ones.<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

By presenting only useful data, we will help you increase the perceived value<\/strong> of your solution and thus its adoption<\/strong> by future users.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

This involves:<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

I<\/span>dentif<\/span>yi<\/span>n<\/span>g<\/span> discriminating health markers<\/strong><\/span><\/span><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

Identifying the best performing<\/strong> combinations of markers<\/strong><\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/3D-Data-vizualisation-Personnalise.jpg” title_text=”3D Data vizualisation (Personnalis\u00e9)” _builder_version=”4.19.1″ _module_preset=”7b8db442-b654-4253-a145-2bb889cd02ce” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I want to improve the visualization of my data” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][dipi_text_highlighter text_highlighter_text=”Externally” highlight_shape=”strikethrough” text_wrapper_tag=”h3″ highlight_animation_repeat_mode=”definite” module_class=”court” _builder_version=”4.20.2″ _module_preset=”f0508cbb-f909-49fb-96e4-4ab87c30e9cf” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″][\/dipi_text_highlighter][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

The data collected by your solution and its users can have a potential<\/strong> with various and varied actors<\/strong> (insurance companies<\/strong>, mutual insurance companies<\/strong>, pharmaceutical laboratories<\/strong>, research units<\/strong>, industrialists<\/strong>, …). Today, data has an important value.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

This reflection must start at the beginning of your project to imagine the future uses<\/strong> of the data you will collect. We can assist you in this phase of identifying potential customers or partners<\/strong> for whom your data<\/strong> would be valuable<\/strong>.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

It is also crucial to structure<\/strong> your data well from the beginning to ensure that it will be usable and valuable<\/strong> to your various targets.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

You also need to ensure that this data is qualitative and quantitative<\/strong> so that it is of interest to other stakeholders.<\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/12\/hand-presses-healthcare-concept-on-futuristic-display-Personnalise.jpg” title_text=”A hand presses healthcare concept on a futuristic display” _builder_version=”4.19.1″ _module_preset=”a1ca4c43-39cf-4674-8db0-cf5c7d50981f” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I need to identify external actors” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ custom_padding_last_edited=”on|tablet” module_id=”parcours” _builder_version=”4.19.1″ _module_preset=”_initial” custom_padding_tablet=”” custom_padding_phone=”” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider color=”#00B9F2″ divider_position=”center” divider_weight=”4px” _builder_version=”4.19.1″ _module_preset=”default” width=”10%” width_tablet=”20%” width_phone=”20%” width_last_edited=”on|tablet” border_radii=”on|1px|1px|1px|1px” global_colors_info=”{}”][\/et_pb_divider][et_pb_text _builder_version=”4.17.4″ _module_preset=”default” header_2_font=”|700|||||||” header_2_font_size=”45px” global_colors_info=”{}”]<\/p>\n

Path of your data<\/h2>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”a1d074ca-e2d0-4ab2-b4b2-9e769390c7d8″ global_colors_info=”{}”]<\/p>\n

Regulations<\/strong> should not be a barrier to the development of your solution but, on the contrary, a force to convince of the reliability<\/strong> of your project. Securing your data also means protecting<\/strong> your future users by respecting<\/strong> their privacy.<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

In the context of health data, regulations are very strict and we help you stay within an ethical and regulatory framework<\/strong> on the use of your data while maximizing its value<\/strong>.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ make_equal=”on” custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding=”0px||0px||true|false” custom_padding_tablet=”0px||20px||false|false” custom_padding_phone=”0px||20px||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”||10px||false|false” custom_padding_phone=”||10px||false|false” custom_padding_last_edited=”on|tablet” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” custom_margin=”||20px||false|false” global_colors_info=”{}”]<\/p>\n

The subject of health data is increasingly sensitive<\/strong> among the population, so it is very important to match<\/strong> your general conditions of use, the communication around your product, and potentially an ethics committee so that your users are aware of the use<\/strong> that will be made of their data or the data they generate. The processing of health<\/strong> and personal data<\/strong> falls within various national and international regulatory frameworks<\/strong> such as :<\/p>\n

[\/et_pb_text][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The CNIL<\/strong><\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The GDPR<\/strong> “General Data Protection Regulation”<\/p>\n

[\/et_pb_blurb][et_pb_blurb image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/07\/icones_puce-2-copie.png” _builder_version=”4.19.1″ _module_preset=”e16d86b9-e522-4803-b8db-4844d1f5de3a” animation_duration=”1500ms” animation_delay=”500ms” global_colors_info=”{}”]<\/p>\n

The HDH<\/strong> certification “Health Data Hosting”<\/p>\n

[\/et_pb_blurb][\/et_pb_column][et_pb_column type=”2_5″ _builder_version=”4.19.1″ _module_preset=”default” custom_css_main_element=”margin: auto;” global_colors_info=”{}”][et_pb_image src=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/11\/hand-touching-tablet.jpg” title_text=”hand-touching-tablet” _builder_version=”4.19.1″ _module_preset=”7b8db442-b654-4253-a145-2bb889cd02ce” global_colors_info=”{}”][\/et_pb_image][\/et_pb_column][\/et_pb_row][et_pb_row _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”_initial” global_colors_info=”{}”]<\/p>\n

This requires great vigilance<\/strong> in all phases of the life and use of your data.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||||false|false” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

With our team of experts, we can accompany you in each of these phases to ensure that the operation of your solution will be in perfect adequacy with the local and\/or international regulations<\/strong>.<\/p>\n

[\/et_pb_text][dipi_advanced_tabs use_sticky_tabs=”off” use_tabs_fullwidth=”off” tabs_min_width=”290px” tabs_max_width=”290px” use_tabs_fullwidth_tablet=”off” tabs_min_width_tablet=”150px” tabs_max_width_tablet=”200px” use_tabs_fullwidth_phone=”on” tabs_placement=”row” tabs_container_width=”25%” tabs_placement_tablet=”row” tabs_placement_phone=”column” tabs_container_padding=”10px|0px|10px|0px|false|false” tabs_container_margin=”10px|0px|10px|0px|false|false” use_scroll_to_content=”off” content_padding=”20px|40px|20px|40px|true|true” content_margin=”10px|10px|10px|30px|false|false” tabs_text_padding=”15px|5px|5px|5px|false|false” tabs_icon_margin=”0px|-47.5em|0px|0px|false|false” tabs_text_padding_active=”15px|5px|5px|5px|false|false” tabs_icon_margin_active=”0px|-47.5em|0px|0px|false|false” use_active_arrow=”off” content_bg_color=”RGBA(255,255,255,0)” tabs_bg_color=”RGBA(255,255,255,0)” tabs_item_bg_color=”RGBA(255,255,255,0)” tabs_item_active_bg_color=”#f9f7ff” content_padding_tablet=”20px|20px|20px|20px|true|true” content_padding_phone=”20px|20px|20px|20px|true|true” content_padding_last_edited=”on|tablet” disabled_on=”on|on|off” module_class=”tablight” _builder_version=”4.20.2″ _module_preset=”default” title_active_font=”|600|||||||” title_active_text_color=”#293540″ background_color=”RGBA(255,255,255,0)” background_enable_image=”off” module_alignment=”center” hover_enabled=”0″ border_color_all_content_wrapper=”RGBA(255,255,255,0)” border_color_all_tabs_wrapper=”RGBA(255,255,255,0)” border_width_right_tabs_wrapper=”2px” border_color_right_tabs_wrapper=”#EEEEEE” border_color_all_tabs_item_active=”#7FD072″ border_width_right_tabs_item_active=”2px” border_color_right_tabs_item_active=”#7FD072″ border_color_left_tabs_item_active=”#7FD072″ border_width_right_tabs_item_active_tablet=”2px” border_width_right_tabs_item_active_phone=”0px” border_width_right_tabs_item_active_last_edited=”on|tablet” border_width_bottom_tabs_item_active_tablet=”” border_width_bottom_tabs_item_active_phone=”2px” border_width_bottom_tabs_item_active_last_edited=”on|tablet” locked=”off” global_colors_info=”{}” custom_css_tabs_container_last_edited=”on|desktop” custom_css_tabs_container_tablet=”width: 25% !important;” custom_css_content_container_last_edited=”on|tablet” custom_css_content_container_tablet=”width: 65% !important;” custom_css_tabs_container_phone=”width: auto !important;” custom_css_content_container_phone=”width: auto !important;” border_radii_tabs_item_active__hover_enabled=”on|desktop” sticky_enabled=”0″][dipi_advanced_tabs_item title=”Acquisition” is_default_tab=”on” tab_media=”image” tab_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-gris.png” use_active_tab_image=”on” tab_image_active=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-vert.png” tab_image_placement=”right” tab_image_size=”30px” _builder_version=”4.20.2″ _module_preset=”default” title_font=”||||||||” title_text_color=”#293540″ title_font_size=”20px” hover_enabled=”0″ custom_css_active_tab=”border-left: 0px !important;” global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

In the context of a medical device, when acquiring<\/strong> your data, you must ensure, for example, that the person providing the data is identified<\/strong>, that the data collected is complete<\/strong> and that the user has a good understanding<\/strong> of the use that can be made of each data generated or provided.<\/p>\n

The CNIL is particularly vigilant in France about the collection of data<\/strong> that are considered unnecessary. We therefore help you in the reflection of the use<\/strong> that will be made of these data to justify<\/strong> this acquisition.<\/p>\n

[\/dipi_advanced_tabs_item][dipi_advanced_tabs_item title=”Transfer” tab_media=”image” tab_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-gris.png” use_active_tab_image=”on” tab_image_active=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-vert.png” tab_image_placement=”right” tab_image_size=”30px” _builder_version=”4.20.2″ _module_preset=”default” title_font=”||||||||” title_text_color=”#293540″ title_font_size=”20px” background_color=”RGBA(255,255,255,0)” background_enable_color=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Once your data is acquired, it may have to be transferred<\/strong> between different connected objects and between different servers. Depending on the nature of the technologies<\/strong> used (Bluetooth, Sigfox, wifi network) technical protection solutions<\/strong> will have to be put in place to ensure that it will not be possible or at least possible to hack<\/strong> the data during their transfer.<\/p>\n

From the implementation of an efficient solution to a blockchain and encryption, we can help you make choices that are both user-oriented and data protection-oriented.<\/p>\n

[\/dipi_advanced_tabs_item][dipi_advanced_tabs_item title=”Storage” tab_media=”image” tab_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-gris.png” use_active_tab_image=”on” tab_image_active=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-vert.png” tab_image_placement=”right” tab_image_size=”30px” _builder_version=”4.20.2″ _module_preset=”default” title_font=”||||||||” title_text_color=”#293540″ title_font_size=”20px” background_color=”RGBA(255,255,255,0)” background_enable_color=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

When transferred, the data will then have to be stored<\/strong> either on mobile devices or on servers. Depending on the categorization and type of your data, these storage spaces<\/strong> will have to comply with French regulations<\/strong>.<\/p>\n

Your data may even have to be hosted on specific servers named HDS<\/strong> (Health Data Host). The choice of your provider for this HDS hosting will also have an impact on the credibility<\/strong> of your solution and on the image<\/strong> that your company may have with its future customers.<\/p>\n

HDS solutions are currently available from large companies such as Microsoft or Amazon but also from French or European operators such as Claranet or OVH. A list of these certified hosting companies<\/strong> is maintained by the government and presents the classification levels<\/strong> for which each of these hosting companies is certified. There are 6 levels of key activities divided into 2 certificates.<\/p>\n

Again, depending on your data and your needs, we will help you select the right level of activity to optimize your hosting costs<\/strong>.<\/p>\n

[\/dipi_advanced_tabs_item][dipi_advanced_tabs_item title=”Anonymization or pseudonymization” img_placement=”row-reverse” img_container_width=”40%” tab_media=”image” tab_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-gris.png” use_active_tab_image=”on” tab_image_active=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-vert.png” tab_image_placement=”right” tab_image_size=”30px” _builder_version=”4.20.2″ _module_preset=”default” title_font=”||||||||” title_text_color=”#293540″ title_font_size=”20px” background_color=”RGBA(255,255,255,0)” background_enable_color=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

This phase is not mandatory depending on the uses of your data.<\/p>\n

Anonymization<\/strong> is a technique that removes all identifying information<\/strong> from a data set. According to the ISO 29100 standard, it is “the process by which personally identifiable information (PII) is irreversibly altered”. Anonymization is therefore marked by the irreversible<\/strong> loss of the identifiable character of individuals.<\/p>\n

In contrast, pseudonymization<\/strong> or reversible anonymization consists of replacing one attribute<\/strong> by another in a record. The physical person is thus always likely to be identified indirectly.<\/p>\n

 <\/p>\n

This choice is therefore essential in terms of the possible use you can make of your data. You will have to weigh the pros and cons of each of these techniques in order to best protect<\/strong> your users and allow you to make optimal use<\/strong> of the data generated.<\/div>\n

[\/dipi_advanced_tabs_item][dipi_advanced_tabs_item title=”Destruction” img_placement=”row-reverse” img_container_width=”40%” tab_media=”image” tab_image=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-gris.png” use_active_tab_image=”on” tab_image_active=”https:\/\/www.kyomedinnov.com\/wp-content\/uploads\/2022\/08\/sans-chiffre-vert.png” tab_image_placement=”right” tab_image_size=”30px” _builder_version=”4.20.2″ _module_preset=”default” title_font=”||||||||” title_text_color=”#293540″ title_font_size=”20px” background_color=”RGBA(255,255,255,0)” background_enable_color=”on” hover_enabled=”0″ global_colors_info=”{}” sticky_enabled=”0″]<\/p>\n

Each data has a lifespan<\/strong>, so it is important to define them well in order not to saturate the servers from an ecological<\/strong> point of view and also to optimize your costs<\/strong>, because hosting health data is particularly expensive.<\/p>\n

It is therefore important to have a strategy on the conservation of data<\/strong> according to the regulations in force and according to the needs of use that you can make of it. The European regulation RGPD also requires you to have a traceability<\/strong> on the destruction of these data especially if they come from your users.<\/p>\n

[\/dipi_advanced_tabs_item][\/dipi_advanced_tabs][et_pb_accordion open_toggle_background_color=”RGBA(255,255,255,0)” closed_toggle_text_color=”#293540″ closed_toggle_background_color=”RGBA(255,255,255,0)” toggle_icon=”||fa||900″ icon_color=”#293540″ use_icon_font_size=”on” icon_font_size=”20px” disabled_on=”off|off|on” module_class=”pa-add-accordion-icon” _builder_version=”4.19.1″ _module_preset=”default” toggle_font=”|600|||||||” toggle_font_size=”23px” border_width_all=”0px” border_width_bottom=”2px” border_color_bottom=”#7FD072″ global_colors_info=”{}” icon_color__hover_enabled=”off|desktop”][et_pb_accordion_item title=”closed” open=”on” _builder_version=”4.19.1″ _module_preset=”default” custom_css_main_element=”display: none;” global_colors_info=”{}”][\/et_pb_accordion_item][et_pb_accordion_item title=”Acquisition” icon_color=”#293540″ toggle_icon=”||fa||900″ _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

In the context of a medical device, when acquiring<\/strong> your data, you must ensure, for example, that the person providing the data is identified, that the data collected is complete<\/strong> and that the user has a good understanding<\/strong> of the use that can be made of each data generated or provided.<\/p>\n

The CNIL is particularly vigilant in France about the collection of data<\/strong> that are considered unnecessary. We therefore help you in the reflection of the use<\/strong> that will be made of these data to justify<\/strong> this acquisition.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Transfer” _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

Once your data is acquired, it may have to be transferred<\/strong> between different connected objects and between different servers. Depending on the nature of the technologies<\/strong> used (Bluetooth, Sigfox, wifi network) technical protection solutions<\/strong> will have to be put in place to ensure that it will not be possible or at least possible to hack<\/strong> the data during their transfer.<\/p>\n

From the implementation of an efficient solution to a blockchain and encryption, we can help you make choices that are both user-oriented and data protection-oriented.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Storage” _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

When transferred, the data will then have to be stored<\/strong> either on mobile devices or on servers. Depending on the categorization and type of your data, these storage spaces<\/strong> will have to comply with French regulations<\/strong>.<\/p>\n

Your data may even have to be hosted on specific servers named HDS<\/strong> (Health Data Host). The choice of your provider for this HDS hosting will also have an impact on the credibility<\/strong> of your solution and on the image<\/strong> that your company may have with its future customers.<\/p>\n

HDS solutions are currently available from large companies such as Microsoft or Amazon but also from French or European operators such as Claranet or OVH. A list of these certified hosting companies<\/strong> is maintained by the government and presents the classification levels<\/strong> for which each of these hosting companies is certified. There are 6 levels of key activities divided into 2 certificates.<\/p>\n

Again, depending on your data and your needs, we will help you select the right level of activity to optimize your hosting<\/strong> costs<\/strong>.<\/p>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Anonymization or pseudonymization” _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

This phase is not mandatory depending on the uses of your data.<\/p>\n

Anonymization<\/strong> is a technique that removes all identifying information<\/strong> from a data set. According to the ISO 29100 standard, it is “the process by which personally identifiable information (PII) is irreversibly altered”. Anonymization is therefore marked by the irreversible<\/strong> loss of the identifiable character of individuals.<\/p>\n

In contrast, pseudonymization<\/strong> or reversible anonymization consists of replacing one attribute<\/strong> by another in a record. The physical person is thus always likely to be identified indirectly.<\/p>\n

 <\/p>\n

This choice is therefore essential in terms of the possible use you can make of your data. You will have to weigh the pros and cons of each of these techniques in order to best protect<\/strong> your users and allow you to make optimal use<\/strong> of the data generated.<\/div>\n

[\/et_pb_accordion_item][et_pb_accordion_item title=”Destruction” _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}” open=”off”]<\/p>\n

Each data has a lifespan<\/strong>, so it is important to define them well in order not to saturate the servers from an ecological<\/strong> point of view and also to optimize your costs<\/strong>, because hosting health data is particularly expensive.<\/p>\n

It is therefore important to have a strategy on the conservation of data<\/strong> according to the regulations in force and according to the needs of use that you can make of it. The European regulation RGPD also requires you to have a traceability<\/strong> on the destruction of these data especially if they come from your users.<\/p>\n

[\/et_pb_accordion_item][\/et_pb_accordion][et_pb_text _builder_version=”4.19.1″ _module_preset=”default” global_colors_info=”{}”]<\/p>\n

In collaboration with our IT partners<\/strong> specialized in health data, the KYomed INNOV team will accompany you and help you optimize your data flow<\/strong>.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding_last_edited=”on|tablet” _builder_version=”4.19.1″ _module_preset=”default” custom_padding_tablet=”0px||0px||true|false” custom_padding_phone=”0px||0px||true|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.19.0″ _module_preset=”default” global_colors_info=”{}”][et_pb_button button_url=”#contact” button_text=”I want to work on the path of my data” _builder_version=”4.19.0″ _module_preset=”a791ea40-b723-47fd-9c77-c58bf4d3d46c” global_colors_info=”{}”][\/et_pb_button][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ next_background_color=”#293540″ module_id=”contact” _builder_version=”4.19.0″ _module_preset=”34a86d6c-a6ae-4c46-8166-be640ef83b27″ background_enable_image=”off” background_horizontal_offset=”-3%” background_vertical_offset=”68%” background_blend=”difference” bottom_divider_style=”none” saved_tabs=”all” global_colors_info=”{}”][et_pb_row _builder_version=”4.17.4″ _module_preset=”default” custom_padding=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”4_4″ _builder_version=”4.17.4″ _module_preset=”default” global_colors_info=”{}”][et_pb_divider color=”#00B9F2″ divider_position=”center” divider_weight=”4px” _builder_version=”4.17.4″ _module_preset=”default” width=”10%” width_tablet=”20%” width_phone=”” width_last_edited=”on|tablet” border_radii=”on|1px|1px|1px|1px” global_colors_info=”{}” width__hover_enabled=”off|desktop”][\/et_pb_divider][et_pb_text _builder_version=”4.19.0″ _module_preset=”0294cc11-a8bb-4cff-a429-6bb8a3a07242″ global_colors_info=”{}”]<\/p>\n

Contact us<\/h2>\n

[\/et_pb_text][et_pb_text _builder_version=”4.19.0″ _module_preset=”0c90df4f-8445-4953-8b21-6914f398f2de” global_colors_info=”{}”]<\/p>\n

If you have a digital health project, our entire team is here to help you.<\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row column_structure=”3_5,2_5″ custom_padding_last_edited=”on|phone” _builder_version=”4.19.4″ _module_preset=”default” width_tablet=”” width_phone=”” width_last_edited=”on|phone” custom_padding_tablet=”” custom_padding_phone=”0px||||false|false” global_colors_info=”{}”][et_pb_column type=”3_5″ _builder_version=”4.19.4″ _module_preset=”default” custom_padding=”|50px|||false|false” custom_padding_tablet=”” custom_padding_phone=”|0px|||false|false” custom_padding_last_edited=”on|phone” border_width_right=”2px” border_color_right=”#144C81″ border_width_all_tablet=”” border_width_all_phone=”” border_width_all_last_edited=”on|tablet” border_width_right_tablet=”0px” border_width_right_phone=”” border_width_right_last_edited=”on|desktop” global_colors_info=”{}” custom_css_main_element_last_edited=”off|tablet”][et_pb_contact_form use_spam_service=”on” recaptcha_list=”add_new_account” recaptcha_account_name=”kyomed” 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By submitting this form, I agree to the use of my personal information to contact me. I also accept the privacy policy<\/a>.<\/p>\n

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Health DataIn the healthcare sector, data is a key element. The advent of digital technology opens up new opportunities to collect and store a wealth of information.Unfortunately, more and more data does not mean better quality or better treatments. This is why KYomed INNOV proposes to accompany you in this universe of health data.In digital […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"dipi_cpt_category":[],"class_list":["post-53794","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/pages\/53794","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/comments?post=53794"}],"version-history":[{"count":0,"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/pages\/53794\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/media?parent=53794"}],"wp:term":[{"taxonomy":"dipi_cpt_category","embeddable":true,"href":"https:\/\/www.kyomedinnov.com\/en\/wp-json\/wp\/v2\/dipi_cpt_category?post=53794"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}