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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Published on: June 13, 2025
InWiM: knowledge management for insurance medicine
Juerg P Bleuer1, Kurt Bösch, Christian A Ludwig
1Healthevidence GmbH, Berne, Switzerland. bleuer@healthevidence.ch
Abstract:
Suva (Swiss National Accident Insurance Fund) is the most important carrier of obligatory accident insurance in Switzerland. Its services not only comprise insurance but also prevention, case management and rehabilitation. Suva's medical division supports doctors in stationary and ambulatory care with comprehensive case management and with conciliar advice. Two Suva clinics provide stationary rehabilitation. Medicine in general, including insurance medicine, faces the problem of a diversity of opinions about the facts of a case. One of the reasons is a diversity of knowledge. This is the reason why Suva initiated a knowledge management project called InWiM. "InWiM" is the acronym for "Integrierte Wissensbasen der Medizin" which can be translated as "Integrated Knowledge Bases in Medicine". The project is part of an ISO 9001 certification program and comprises the definition and documentation of all processes in the field of knowledge management as well as the development of the underlying ITC infrastructure. The knowledge representation model used for the ICT implementation considers knowledge as a multidimensional network of interlinked units of information. In contrast to the hyperlink technology in the World Wide Web, links between items are bidirectional: the target knows the source of the link. Links are therefore called cross-links. The model allows annotation for the narrative description of the nature of the units of information (e.g. documents) and the cross-links as well. Information retrieval is achieved by means of a full implementation of the MeSH Index, the thesaurus of the United States National Library of Medicine (NLM). As far as the authors are aware, InWiM is currently the only implementation worldwide - with the exception of the NLM and its national representatives - which supports all MeSH features for in-house retrieval.
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