{"id":3964,"date":"2019-07-27T14:14:13","date_gmt":"2019-07-27T14:14:13","guid":{"rendered":"https:\/\/www.omnidermal.it\/?page_id=3964"},"modified":"2021-11-08T16:00:35","modified_gmt":"2021-11-08T16:00:35","slug":"research","status":"publish","type":"page","link":"https:\/\/www.omnidermal.it\/en\/research\/","title":{"rendered":"Research"},"content":{"rendered":"

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Research.<\/span><\/strong><\/h1>\n

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Effective tracking of new solutions<\/h1>\n

Universities, institutes and research centers often have the need to monitor the effectiveness of their innovative solutions through the use of efficient, quick and high-quality systems<\/span><\/em><\/p>\n

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WoundViewer, allows to collect standardized, objective and accurate data on the skin lesions and healing status of patients. The data is anonymized and aggregated in order to be compliant with GDPR and to be used for research, scientific publications and\/or <\/span>with<\/span>in clinical trials<\/span><\/p>\n

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DIGITAL<\/strong><\/div>\n

CRF<\/span><\/p>\n

[\/et_pb_text][\/et_pb_column][et_pb_column type=”1_4″ _builder_version=”3.25″ custom_padding=”|||” global_colors_info=”{}” custom_padding__hover=”|||”][et_pb_image src=”https:\/\/www.omnidermal.it\/wp-content\/uploads\/2019\/05\/icone55.png” force_fullwidth=”on” align_tablet=”center” align_last_edited=”on|desktop” _builder_version=”3.23″ background_color=”rgba(0,0,0,0.06)” animation_style=”flip” animation_direction=”left” animation_delay=”100ms” border_width_right=”5px” border_color_right=”#ffffff” border_width_left=”5px” border_color_left=”#ffffff” global_colors_info=”{}”][\/et_pb_image][et_pb_text _builder_version=”3.27.4″ text_font=”Barlow Medium||||||||” text_font_size=”18px” text_letter_spacing=”-1px” header_font=”||||||||” custom_padding=”5%|5%|5%|5%” global_colors_info=”{}”]<\/p>\n

BUSINESS INTELLIGENCE
<\/strong><\/div>\n

analysis and communication of data<\/span><\/p>\n

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IMPROVED PERFORMANCES
<\/strong><\/div>\n

health care personnel<\/span><\/p>\n

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DATA QUALITY<\/strong><\/div>\n

standardized and in-depth data quality<\/span><\/i><\/span><\/p>\n

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