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Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective

Author

Listed:
  • Lizawati Salahuddin
  • Zuraini Ismail
  • Raja Rina Raja Ikram
  • Ummi Rabaah Hashim
  • Ariff Idris
  • Nor Haslinda Ismail
  • Noor Hafizah Hassan
  • Fiza Abdul Rahim

Abstract

There is growing evidence that shows Hospital Information Systems (HIS) can pose risks to patient safety when they are poorly designed, implemented, or adopted. Most of the preventive solutions have focused on improving the software design, whereas, this study proposes a model for the safe use of HISs based on a sociotechnical perspective. A questionnaire survey was conducted to test the proposed model, in which a total of 364 medical doctors from three Malaysian government hospitals implementing the Total Hospital Information System (THIS) participated. Psychometric testing and factor analysis of the questionnaire instrument established its construct validity and reliability. Structural Equation Modelling (SEM) analysis showed knowledge, system quality, teamwork, and task stressor were the antecedents of safe use of a HIS that predicted the HIS use. In addition, HIS use is a predictor of the HIS use outcomes. Furthermore, HIS use is the mediator between antecedents of safe use of a HIS and the HIS use outcomes. The proposed model has portrayed predictive capability, implying that the model could effectively explain the safe use of a HIS and its outcomes. Hence, the model can provide a basis for evaluating the safe use of a HIS from a sociotechnical standpoint.

Suggested Citation

  • Lizawati Salahuddin & Zuraini Ismail & Raja Rina Raja Ikram & Ummi Rabaah Hashim & Ariff Idris & Nor Haslinda Ismail & Noor Hafizah Hassan & Fiza Abdul Rahim, 2020. "Safe use of hospital information systems: an evaluation model based on a sociotechnical perspective," Behaviour and Information Technology, Taylor & Francis Journals, vol. 39(2), pages 188-212, February.
    • Handle: RePEc:taf:tbitxx:v:39:y:2020:i:2:p:188-212
    DOI: 10.1080/0144929X.2019.1597164
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    Cited by:

    1. Nisar Ahmad & Shaofu Du & Fawad Ahmed & Noor ul Amin & Xu Yi, 2025. "Healthcare professionals satisfaction and AI-based clinical decision support system in public sector hospitals during health crises: a cross-sectional study," Information Technology and Management, Springer, vol. 26(2), pages 205-217, June.

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