Related Experiment Videos
Towards patient-related information needs.
Loes M M Braun1, Floris Wiesman, H Jaap van den Herik
1MICC-IKAT, Maastricht University, 6200 MD Maastricht, The Netherlands. l.braun@cs.unimaas.nl
International Journal of Medical Informatics
|May 2, 2006
Summary
Physicians often have knowledge gaps, leading to unmet information needs. This study models and automatically formulates patient-specific information needs to improve healthcare quality.
Area of Science:
- Medical Informatics
- Knowledge Management in Healthcare
Background:
- Physician knowledge gaps impact healthcare quality.
- Accessing comprehensive medical literature is crucial for complex cases.
- Physicians are often unaware of their specific information needs.
Purpose of the Study:
- To develop an automated approach for formulating patient-related physician information needs.
- To model and represent physician information needs based on patient data.
Main Methods:
- Investigated general modeling of physician information needs.
- Proposed an approach to instantiate models using patient electronic health record data.
- Experimented with feasibility of the proposed approach.
Main Results:
- Demonstrated the feasibility of automatically formulating patient-related information needs.
- Identified a high number of formulated needs requiring reduction.
- Proposed using temporal, domain, specialization, and user knowledge to reduce needs.
Conclusions:
- Automated formulation of physician information needs is feasible.
- Further research is needed to determine optimal knowledge types for reducing information needs.
- Managing information needs is expected to enhance healthcare quality.