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A Case-Based Approach for Unravelling the Complexity in Adoption Decision-Making in Enterprise Health Information Systems

Published: 13 May 2024 Publication History

Abstract

Health technology assessment (HTA) is crucial in making adoption decisions for emerging health technologies, such as an enterprise health information system. Variance-based approaches are commonly used in HTA. However, given health technologies’ complexity and multifaceted nature, relying solely on a net effect approach could be misleading. Instead, case-based approaches such as qualitative comparative analysis (QCA) have the uniqueness to capture combinations of complex factors that align with the outcomes being studied. This study aims to demonstrate using QCA as a case-based approach to provide additional nuances in traditional evidence-based synthesis in HTA. We designed a measurement model based on technology acceptance and information systems success models from literature to collect clinicians’ experience with an electronic medication management system (EMMS). Confirmatory factor analysis (CFA) was conducted to examine the dimension's reliability and validity in the measurement model. QCA was then performed and revealed three different configurations that led to the successful adoption of EMMS for doctors and one for nurses. Information quality, perceived usefulness, service quality and satisfaction were core conditions indispensable to EMMS adoption and success. Doctors and nurses have interrelated but different results. Overall, we demonstrated that QCA, as a case-based approach, can add valuable information to HTA and adoption decision-making about new health technologies.

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  1. A Case-Based Approach for Unravelling the Complexity in Adoption Decision-Making in Enterprise Health Information Systems

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      cover image ACM Other conferences
      ACSW '24: Proceedings of the 2024 Australasian Computer Science Week
      January 2024
      152 pages
      ISBN:9798400717307
      DOI:10.1145/3641142
      This work is licensed under a Creative Commons Attribution International 4.0 License.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 13 May 2024

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      Author Tags

      1. Case-based Approach
      2. Configurational Approach
      3. Decision-making
      4. Electronic Medication Management
      5. Health Information System
      6. Health Technology Assessment
      7. Qualitative Comparative Analysis

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      ACSW 2024
      ACSW 2024: 2024 Australasian Computer Science Week
      January 29 - February 2, 2024
      NSW, Sydney, Australia

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      Overall Acceptance Rate 61 of 141 submissions, 43%

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