A Formal Model for the FAIR4Health Information Architecture

• Main Authors: Alvarez-Romero, C. (Author), Gencturk, M. (Author), Löbe, M. (Author), Martinez-Garcia, A. (Author), Parra-Calderon, C.L (Author), Perbix, M. (Author), Quintero, M. (Author), Sinaci, A.A (Author), Stäubert, S. (Author), Winter, A. (Author)
• Format: Article
• Language: English
• Published: NLM (Medline) 2022
• Subjects: adult; article; case report; clinical article; female; Health Information Systems; human; machine learning; male; medical information system; multicenter study; Organizational Models; patient coding; pipeline; security; software; system analysis; Systems Analysis; university hospital
• Online Access: View Fulltext in Publisher
• ISBN: 18798365 (ISSN)
• DOI: 10.3233/SHTI220761

In the EU project FAIR4Health, a ETL pipeline for the FAIRification of structured health data as well as an agent-based, distributed query platform for the analysis of research hypotheses and the training of machine learning models were developed. The system has been successfully tested in two clinical use cases with patient data from five university hospitals. Currently, the solution is also being considered for use in other hospitals. However, configuring the system and deploying it in the local IT architecture is non-trivial and meets with understandable concerns about security. This paper presents a model for describing the information architecture based on a formal approach, the 3LGM metamodel. The model was evaluated by the developers. As a result, the clear separation of tasks and the software components that implement them as well as the rich description of interactions via interfaces were positively emphasized.