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Applying the Zone of Proximal Development when Evaluating Clinical Decision Support Systems: A Case Study.
Helena Lindgren1, Ming-Hsin Lu2, Yeji Hong1
1Department of Computing Science, UmeåUniversity.
Studies in Health Technology and Informatics
|April 22, 2018
Summary
This study introduces a method to evaluate clinician knowledge and skill development within clinical decision-support systems, aiding continuing medical education. The research assessed system use across different skill levels, informing future system and methodology enhancements.
Area of Science:
- Medical Informatics
- Educational Technology
- Human-Computer Interaction
Background:
- Clinical decision-support systems (CDSS) can integrate continuing medical education (CME).
- Evaluating the effectiveness of CDSS in skill development is crucial.
- Activity Theory and Zone of Proximal Development offer frameworks for analysis.
Purpose of the Study:
- To develop and evaluate a methodology for assessing clinician knowledge and skill acquisition using a CDSS.
- To analyze clinician activity within a CDSS environment.
- To inform the design of future CDSS for enhanced CME.
Main Methods:
- Activity Theory was used to analyze the system-supported activity.
- A structured protocol was developed for assessment.
- Four clinicians were observed during their initial use of the CDSS.
- Clinician activity was assessed using the Zone of Proximal Development concept.
Main Results:
- The study demonstrated how the CDSS was utilized by clinicians with varying skill levels.
- Initial findings provide insights into the practical application of the assessment methodology.
- Observed differences in system usage highlight the impact of individual skill levels.
Conclusions:
- The developed methodology shows promise for evaluating skill development in CDSS.
- The findings have implications for refining both the CDSS and the evaluation approach.
- Further research can build upon this framework to optimize CDSS for medical education.
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