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Using a contextualized sensemaking model for interaction design: A case study of tumor contouring
Anet Aselmaa1, Marcel van Herk2, Anne Laprie3
1Faculty of Industrial Design Engineering, Delft University of Technology, Landbergstraat 15, 2628 CE Delft, The Netherlands.
Journal of Biomedical Informatics
|December 10, 2016
Summary
This study presents a two-step approach to enhance health information systems by modeling physician sensemaking during complex tasks. The findings identify design improvements for better user understanding and support in clinical workflows.
Area of Science:
- Human-Computer Interaction
- Health Informatics
- Cognitive Science
Background:
- Sensemaking theories explain user cognitive processes in complex tasks.
- Health information systems require effective design to support clinical decision-making.
Purpose of the Study:
- To introduce and validate a two-step approach for incorporating sensemaking support in health information system design.
- To model physician sensemaking during the tumor contouring task for radiotherapy planning.
- To identify specific software interaction design requirements that enhance sensemaking.
Main Methods:
- Developed a contextualized sensemaking model based on task goals, workflow, and context.
- Conducted an experiment with eight physicians performing tumor contouring tasks using a research software prototype.
- Analyzed interaction log data to identify navigation interactions and sequence patterns.
Main Results:
- Identified four types of navigation interactions and five types of interaction sequence patterns.
- Revealed five key areas for design improvements to enhance sensemaking support.
- The proposed approach facilitated a deeper understanding of the sensemaking process.
Conclusions:
- The two-step approach effectively models physician sensemaking in clinical tasks.
- The identified design requirements can improve sensemaking support in health information systems.
- This methodology aids in creating more intuitive and effective healthcare software.
