Evaluating user interactions with clinical information systems: a model based on human-computer interaction models

  • Authors:
  • Christelle Despont-Gros;Henning Mueller;Christian Lovis

  • Affiliations:
  • Hôpitaux Universitaires de Genève, Service d'Informatique Médicale (SIM), 21, rue Micheli-du-Crest, CH-1211 Genève 4, Switzerland;Hôpitaux Universitaires de Genève, Service d'Informatique Médicale (SIM), 21, rue Micheli-du-Crest, CH-1211 Genève 4, Switzerland;Hôpitaux Universitaires de Genève, Service d'Informatique Médicale (SIM), 21, rue Micheli-du-Crest, CH-1211 Genève 4, Switzerland

  • Venue:
  • Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 2: Evaluation
  • Year:
  • 2005

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Abstract

Objectives: This article proposes a model for dimensions involved in user evaluation of clinical information systems (CIS). The model links the dimensions in traditional CIS evaluation and the dimensions from the human-computer interaction (HCI) perspective.Proposed method: In this article, variables are defined as the properties measured in an evaluation, and dimensions are defined as the factors contributing to the values of the measured variables. The proposed model is based on a two-step methodology with: (1) a general review of information systems (IS) evaluations to highlight studied variables, existing models and frameworks, and (2) a review of HCI literature to provide the theoretical basis to key dimensions of user evaluation.Results: The review of literature led to the identification of eight key variables, among which satisfaction, acceptance, and success were found to be the most referenced.Discussion: Among those variables, IS acceptance is a relevant candidate to reflect user evaluation of CIS. While their goals are similar, the fields of traditional CIS evaluation, and HCI are not closely connected. Combining those two fields allows for the development of an integrated model which provides a model for summative and comprehensive user evaluation of CIS. All dimensions identified in existing studies can be linked to this model and such an integrated model could provide a new perspective to compare investigations of different CIS systems.