ASAP PoC Improved Civil and Military prehospital Point-of-Care decisions through Data Fusion and AI

Research Project, 2023 – 2024

Purpose and goal
ASAP-PoC addresses the need for qualified clinical decision support (CDS) in civil and military prehospital PoC (Point-of-Care) healthcare. CDS are based on AI and data fusion and utilizes the Digital Health Sandbox - a simulated environment for tests in prototype development. ASAP-PoC also designs MAIN, a triple-helix model that enables utilization and dissemination of CDS via commercial IT platforms. In MAIN, issues around interoperability, MDR, IP, clinical verification, etc. are handled. In ASAP-PoC, prototypes will be tested in DH Sandbox and commercial IT platform.

Expected results and effects
- Scientifically-based "packaged" prototypes for AI-based PoC decision support modules in trauma and brain injury with interfaces that enable integration into healthcare´s existing and future prehospital IT platforms. - Model for AI utilizatioN (MAIN); proposal for a triplehelix model for R&D packaging and utilization of AI, as well as increased sustainability in society and business. - Communicated information, incl. scientific, in various channels about the project, its results and recommendations regarding e.g. interoperability, standards and legal issues

Planned approach and implementation
ASAP PoC is run according to the team´s VIPHS model (Verified Innovation Process for Healthcare Solutions). The project shall lead to prototype solutions verified in realistic simulations, i.e. step 2. The project is made up of 8 work packages: 1) Orchestration; 2) Clinical process analysis, requirement specification etc. (VIPHS 1); 3) AI - algorithms dev. & test; 4) Design & test ASAP PoC system; 5) Simulations & evaluation prototype (VIPHS 2); 6) MAIN; 7) Legal & Privacy; 8) Dissemination. The project consortium consisting of 8 parties maps clinical challenges and designs solutions.