Worldwide, more than 500 million people are estimated to suffer from Bronchial Asthma. Merging, linking, and evaluating medical data would improve the quality of life of those affected, optimize medication, and drive forward the development of new pathways for successful asthma therapy.
The Dwinity ecosystem as a decentral operator can provide technical components to securely collect necessary data, process, and evaluate them with the help of customized AI algorithms. Medical data are linked with, for example, weather data, pollen information, the comparison of medical standards, location data and much more, and are evaluated accordingly. In this environment, the patient as a Data Owner never loses control over his or her data. Consequently, it will be possible to visualize undetected correlations. Dwinity implements the entire data value chain, provides secure and controllable data storage & sharing, as well as AI-powered data curation, linking, and analysis.
Insurance companies require highly sensitive health data of prospective customers for admission to private and/or supplementary health insurance. The economic goal of insurance companies is to generate a collective of young and healthy premium payers. They are urgently needed to offset costs. Anyone interested in comprehensive health insurance currently has to go through a complicated and very costly application process.
Prospective applicants for comprehensive health insurance can use a Dwinity-certified app to disclose their highly sensitive data, which insurers need to assess the application. This data is qualitatively evaluated by the AI and shown as a score. In this way, Dwinity offers the opportunity to introduce a user-centered, user-friendly, and voluntary method of maintaining health information. Within the Dwinity Ecosystem, insurance applicants as data owners never lose control over their data.
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