Thema der Dissertation:
A framework for a semantic clinical decision support system Thema der Disputation:
Why Medical Information Systems require more than Standardized Data Models
A framework for a semantic clinical decision support system Thema der Disputation:
Why Medical Information Systems require more than Standardized Data Models
Abstract: Medical information systems and standardized medical data models play a critical role in modern healthcare by supporting the care process, documentation, and decision-making. Additionally, the medical data models are key for data exchange across systems and healthcare institutions.
These models define how data is structured and exchanged, but do not ensure consistent data interpretation. Furthermore, these data models alone are not enough to address clinical meaning or semantic interpretation. The combination of established (medical) data models and medical terminologies serves as a basis for medical information systems to enable unambiguous semantic representation of medical data elements. In particular, the use of Fast Healthcare Interoperability Resources (FHIR) should be coupled with the terminologies and technically transformed to a more general formal representation to enable data validation, logical analysis, and automated reasoning. The resulting semantically enriched representation can be used for future clinical decision support, patient safety checks, and automated guideline-based processing.
This talk explores why medical information systems require an integrated semantic methodology to provide the envisioned benefits for both medical practitioners and patients.
These models define how data is structured and exchanged, but do not ensure consistent data interpretation. Furthermore, these data models alone are not enough to address clinical meaning or semantic interpretation. The combination of established (medical) data models and medical terminologies serves as a basis for medical information systems to enable unambiguous semantic representation of medical data elements. In particular, the use of Fast Healthcare Interoperability Resources (FHIR) should be coupled with the terminologies and technically transformed to a more general formal representation to enable data validation, logical analysis, and automated reasoning. The resulting semantically enriched representation can be used for future clinical decision support, patient safety checks, and automated guideline-based processing.
This talk explores why medical information systems require an integrated semantic methodology to provide the envisioned benefits for both medical practitioners and patients.
Time & Location
May 11, 2026 | 01:30 PM
Seminarraum 137
(Fachbereich Mathematik und Informatik, Takustr. 9, 14195 Berlin)
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WebEx