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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
PubMed
Summary
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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:

Related Experiment Videos

  • 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.