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Evaluating user interactions with clinical information systems: a model based on human-computer interaction models.
Christelle Despont-Gros1, Henning Mueller, Christian Lovis
1Hôpitaux Universitaires de Genève, Service d'Informatique Médicale, 21, rue Micheli-du-Crest, CH-1211 Genève 4, Switzerland. christelle.despont@sim.hcuge.ch
Journal of Biomedical Informatics
|May 18, 2005
Summary
This study introduces an integrated model for evaluating clinical information systems (CIS), combining traditional system evaluation with human-computer interaction (HCI) principles. IS acceptance emerges as a key user evaluation metric for comprehensive CIS assessment.
Area of Science:
- Health Informatics
- Human-Computer Interaction
- Information Systems Evaluation
Background:
- Traditional clinical information system (CIS) evaluation models often lack integration with human-computer interaction (HCI) perspectives.
- User evaluation is critical for the successful adoption and effectiveness of healthcare information systems.
Purpose of the Study:
- To propose an integrated model for user evaluation of CIS.
- To bridge the gap between traditional CIS evaluation and HCI dimensions.
- To provide a comprehensive framework for assessing user perceptions of CIS.
Main Methods:
- A two-step methodology involving a review of information systems (IS) evaluations and HCI literature.
- Definition of variables as measured properties and dimensions as contributing factors.
- Identification of key variables and theoretical underpinnings for user evaluation.
Main Results:
- Eight key variables were identified from literature reviews.
- User satisfaction, acceptance, and success were the most frequently referenced variables in CIS evaluations.
- IS acceptance is highlighted as a significant indicator of user evaluation for CIS.
Conclusions:
- An integrated model combining traditional CIS evaluation and HCI offers a comprehensive approach to user assessment.
- This unified model allows for the linkage of all identified dimensions from existing studies.
- The proposed model provides a novel perspective for comparing diverse CIS investigations and enhances summative evaluation.