Detec't

Market access

With Detec't, get real-life data from spontaneous testimonials shared on social networks by patients and their caregivers. From real-life treatment use to quality of life impacts and unmet medical needs, optimize your HEOR strategies with these innovative, large-scale insights focused on the patient experience.

Work plan 2 copies 16

A new source of real-life data

29% of French people have already talked about their health online. On social networks and discussion forums, patients speak spontaneously and in their own words about their experience of an illness, their care path, the impact on their quality of life or their perception of treatments, questions, beliefs and knowledge associated with their health condition. Infodemiology, medical analysis of social networks (medical social listening), coupled with artificial intelligence algorithms based on validated medical methods and scales, translates patient language into medical ontologies to collect and analyze real-life data from patient populations.
KCsite illu 83
Work plan 24 copy 3

A patient-centered strategy

Social networks and discussion forums are a way for Internet users to express themselves on their pathology, their treatments and the impact of their health condition on their lives. They confide their questions, fears and are often looking for help. As close as possible to real life, the analysis of these large volumes of free data leads to indicators directly from the populations of health users and constitutes an innovative and complementary approach to health evaluation, including for rare diseases. With this patient experience data, complement your evaluation and monitoring strategies by using the indicators, arguments and needs expressed by the different patient populations. Infodemiology as the voice of the patient puts health care users back at the heart of market access/HEOR approaches. From the free voice of patients, we can bring to light the known expectations and needs that are still unknown to healthcare stakeholders. Artificial intelligence analysis translates testimonies into usable indicators from both a public health and an industrial health perspective.
Scroll to Top