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Agile, Easily Applicable, and Useful eHealth Usability Evaluations: Systematic Review and Expert-Validation
Irina Sinabell1, Elske Ammenwerth1
1Department of Biomedical Computer Science and Mechatronics, Institute of Medical Informatics, UMIT, Private University of Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria.
This study identified and validated rapid eHealth usability evaluation methods. Remote User Testing, Expert Review, and Rapid Iterative Test and Evaluation Method are recommended for faster usability assessments of electronic health systems.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Usability Engineering
Background:
- Traditional usability evaluation methods are time-consuming for rapidly developed electronic health (eHealth) systems.
- There is a growing need for fast, flexible, and cost-effective eHealth usability evaluation methods.
- This study addresses this need by identifying and validating rapidly deployable eHealth usability evaluation methods.
Purpose of the Study:
- To identify and prioritize eHealth usability evaluation methods suitable for agile, easily applicable, and useful evaluations.
- To provide a validated list of methods for rapid eHealth usability assessments.
Main Methods:
- A systematic iterative approach combining expert knowledge and literature findings.
- Systematic identification and assessment of 43 eHealth usability evaluation methods.
- Semi-structured expert interviews with 10 European usability experts and systematic literature research.
Main Results:
- Ten eHealth usability evaluation methods were recommended for rapid evaluations.
- Remote User Testing, Expert Review, and Rapid Iterative Test and Evaluation Method were the top three recommended methods.
- Eleven methods, including Retrospective Testing, were not recommended for rapid eHealth usability evaluations.
Conclusions:
- A systematic review and expert validation identified rapidly deployable eHealth usability evaluation methods.
- This evidence-based prioritization supports faster usability evaluations for emerging eHealth systems.
- The findings contribute to improving the ease-of-use of eHealth systems.
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