Medical Crisis Management and Research Platform "UNITY"

Practical example and current challenges

• Is the number of intensive capacities sufficient to effectively combat pandemics in times of crisis? What measures should be taken because they are particularly effective?
• Current infectious diseases, such as COVID-19, have shown that pandemics can develop very dynamically. Firstly, it is important for healthcare decision-makers to have reliable and complete real-time data on the spread of diseases, also in order to be able to forecast capacity utilization.
• Secondly, for the effective treatment of infected persons, it is crucial to gather additional information to develop a therapeutic approach. Therefore, the availability of highly granular data that allow conclusions to be drawn about environmental, behavioural or medication influences that promote or reduce risk must be ensured.
• Third, further measures can be taken to avoid overburdening the health care system. For example, it is particularly important to relieve the burden on medical staff by means of an automated anamnesis, status recording, decision-making and information processes.
• The medical crisis management and research platform "UNITY" enables the continuous recording of condition, medication, environmental factors and the consolidation of patient, laboratory and radiology data via low-threshold web technologies. "UNITY" is based on a concept for clinical trials and studies from 2015 and has been in use for four years, primarily in the USA.

What added value does the "GAIA-X project" offer?

• Due to its scalability, GAIA-X allows the hierarchical data, information and user model to be extended with interfaces to hospital information systems for the transfer of patient master data. Barrier-free availability of the platform, independent of hardware and operating system, is guaranteed. The platform can be put into operation throughout Europe.
• Trust in a secure cloud environment encourages the active participation of patients in data collection, anamnesis and condition monitoring via "UNITY". This reduces the administrative work of medical staff and avoids overload situations. At the same time, digital processes reduce contact with infected persons and thus the risk of infection.
• The data collected from patients will be anonymised or pseudonymised in accordance with the applicable European data protection regulations and made available to selected research institutions. By using data-based analysis methods, new insights into pathological findings and therapeutic approaches can be gained.
• In addition, the exchange of information and the more efficient development of drugs and vaccines will be promoted via an integrated study platform.

Use Case Team

• Frank T. Trautwein – Raylytic