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Clinical guideline representation in a CDS: a human information processing method
Ellen Kilsdonk1, Rinke Riezebos, Leontien Kremer
1Department of Medical Informatics, University of Amsterdam, The Netherlands. e.kilsdonk@amc.uva.nl
Studies in Health Technology and Informatics
|August 10, 2012
Summary
Computerized Decision Support (CDS) tools improve cancer survivor care. A CDS tool based on clinician cognitive strategies enhanced efficiency and completeness in screening for late treatment complications.
Area of Science:
- Oncology
- Health Informatics
- Human-Computer Interaction
Background:
- Evidence-based guidelines exist for screening childhood cancer survivors for late treatment complications.
- Paper-based guidelines did not align with clinicians' information retrieval needs.
- A Computerized Decision Support (CDS) tool was developed to improve guideline accessibility.
Purpose of the Study:
- To assess the usability of a CDS tool for childhood cancer survivor screening.
- To understand clinicians' cognitive strategies for information retrieval from guidelines.
- To inform the design of a user-friendly CDS tool based on user needs.
Main Methods:
- Analysis of clinicians' cognitive strategies using think-aloud protocols.
- Development of an information processing model based on user behavior.
- Usability analysis of the CDS tool's user interface and navigational structure.
Main Results:
- The CDS tool's navigational structure aligned well with clinicians' mental strategies.
- Clinicians demonstrated increased efficiency and completeness when using the CDS tool compared to paper guidelines.
- The think-aloud method provided crucial insights into clinical workflows for system design.
Conclusions:
- A CDS tool designed using cognitive strategy analysis enhances usability for clinical guidelines.
- CDS tools can improve the efficiency and accuracy of patient-tailored screening protocols for cancer survivors.
- User-centered design, informed by cognitive insights, is key to effective clinical decision support systems.
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