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As one of the first digital healthcare investors, Flying Health states that it invested in digital healthcare as early as 2012 and brought the first prescription app onto the market in 2014. Currently, Flying Health participates in the “heal capital” venture capital fund with which the German Association of Private Health Insurers (PKV - Verband der Privaten Krankenversicherungen) promotes start-ups and their digital healthcare innovations. Lina Behrens, Managing Director of Flying Health, will chair the “From treatment to prevention” session on November 16 at 10:00 am Central European time at the MEDICA HEALTH IT FORUM. One of the supported start-ups is HelloBetter who develop and market online training courses that promote mental well-being. The portfolio includes online offers for the treatment of stress, depression and anxiety disorders and additional special programs for patients where these symptoms occur in connection with a chronic disease such as diabetes, as well as preventive training – also during the COVID-19 crisis. A special HelloBetter training program is designed to support users in strengthening their own mental health. Dr. Hanne Horvath, a Co-Founder of HelloBetter, Dennis Hermann from Kaia Health and Benjamin Westerhoff of the Barmer health insurance group will take part in this session at the MEDICA HEALTH IT FORUM.
Fighting the virus with data donations
To be “fasterthancorona.org” is the goal of the website Dr. med. Tobias Gantner founded and operates with a pan-European team. The founder and managing director of HealthCare Futurists GmbH, based in Cologne, Germany, will moderate the session “Sharing is caring - Data Sharing & Data Donations” on November 17 at 10:00 am Central European time. Similar to the RKI's data donation app, the project focuses on altruistic data donations - but without the direct link to wearables, but with clear medical questions. ”The ultimate success would be if we knew more about COVID-19 due to our initiative.” Questions could be: "Are there medications that protect certain groups of people" or "Who really has a high risk, and in which situation? With an anonymous survey, the web app creates history logs of data donors.
Although the evidence of the data does not reach the standard of a randomized, placebo-controlled clinical trial, the total amount of data generated (Big Data) suggests that the data can be used to identify patterns in the approach that indicate correlations or cause. The AI used here therefore does not make any therapeutic decisions but is used for pattern recognition. Computer-generated biomarkers will be defined by evaluating the collected data. Arthritic patients who are treated with chloroquine could be an interesting group to research the course of COVID-19. The data will not only be analyzed by the group itself. Upon request and after external review of the scientific question, the data will be made available to other researchers, institutes and individuals in a completely anonymous form. "We want to expand the toolbox of epidemiology a little bit", says Dr. Gantner
