The digital revolution is bringing about profound social transformations, particularly in health, where it must manage a paradox: Reconcile rapid and agile innovation with a regulatory and evaluation logic based on longer cycles. Beginning in the 1970s with the first patient registrations, digital transformation and technology have often preceded usage. Kappa Santé offers a wide range of digital health services.
MULTI-SOURCE STUDIES WITH CONNECTED OBJECTS AND APPLICATIONS
The arrival of connected objects in health allows the collection of a new type of data in the real life data field. These data and their collection have particular characteristics: continuous generation, adapted data management, technical support, development of related applications, integration of data flows.
The involvement of connected objects in the studies conducted by Kappa Santé with the collection of data are made in collaboration with investigating centers with training of included patients. Particularly on the use of the tools used (application, CRF) thus participating in the constitution of a multi-source database
PUBLIC HEALTH INFORMATION SYSTEM
Health information systems (HIS) refer to all digital applications that manage a user's health data.
They enable administrative and medical data to be recorded and processed, and information useful for the care of a user to be exchanged or shared in complete security and to ensure its follow-up. Indeed, the problem of collection of real-life data related to a medical practice may arise in many studies in which Kappa Santé may be called upon. These include make patient data available to healthcare professionals related to home hospitalization, for example. Kappa Santé's expertise is to be found at different levels:
- The design of a data exchange platform
- Evaluation of benefits and constraints for patients and health professionals
- Adaptability to changes during execution.
HISs are thus involved in the production of data to assess the health of the population and to support public health decision-making.
SOCIAL NETWORK ANALYSIS
Social networks are full of health-related testimonials that constitute real-life data spontaneously expressed by Internet users. In France, there are nearly 3 out of 10 French people have already talked about their health on the web. Unlike data collected in a traditional study, real-life data are not restricted to the questions asked and reduce the bias induced by the particular relationship between health professionals and patients.
The data from social networks are then relevant in a evaluation of public health policies and public health problems. With the will to place the patient at the center of health, a team dedicated to the analysis of this social network data was created, which later evolved into a full-fledged startup Kap Code.
The startup offers solutions in the field of life data with the extraction, analysis and interpretation of medical data from social networks. The tool Detec't, based on artificial intelligence and natural language processing methods, allows the extraction of data on quality of life, care pathways or medical needs not covered by other analyses.