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A framework for reporting on human factor/usability studies of health information technologies
Linda W Peute1, Keiko F Driest, Romaric Marcilly
1Department of Medical Informatics, Academic Medical Center, Amsterdam, The Netherlands.
Poorly designed Health Information Technology (HIT) can cause errors. This study proposes a framework for reporting HIT design and usability studies to improve quality and safety.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Patient Safety
Background:
- Growing concerns exist regarding the negative impact of poorly designed Health Information Technology (HIT) in clinical settings, leading to technology-induced errors and adverse events.
- Academic research on HIT design and evaluation offers crucial insights into usability, user-friendliness, and safety-critical aspects, yet reporting inconsistencies hinder evidence synthesis.
- Existing studies often lack comprehensiveness, complicating outcome appraisal, generalizability, meta-analysis, and harmonization of findings.
Purpose of the Study:
- To establish consensus on essential reporting elements for HIT design and usability evaluation studies.
- To introduce a framework promoting comprehensive and unambiguous reporting of these studies.
- To enhance the quality of publications and improve the indexation of HIT research.
Main Methods:
- Development of a reporting framework based on principles for comprehensive and unambiguous reporting.
- Focus on Human Factors (HF) and usability evaluation studies within HIT.
- Aiming to reduce variation and improve the quality of published research.
Main Results:
- Presents the first approach to a framework for reporting HIT design and usability evaluation studies.
- The proposed framework aims to standardize reporting to improve clarity and consistency.
- Facilitates better identification of use errors and safety issues related to HIT design and implementation.
Conclusions:
- A standardized reporting framework is necessary to address inconsistencies in HIT research.
- Implementing this framework can improve the quality of evidence and facilitate knowledge expansion.
- The framework supports better understanding of Human Factors/Usability in HIT, aiding in the design of effective, efficient, and safe systems.
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