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Information quality life cycle in secondary use of EHR data

Author

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  • Hausvik, Geir Inge
  • Thapa, Devinder
  • Munkvold, Bjørn Erik

Abstract

The paper argues that existing research on information quality (IQ) mainly focuses on the primary use of electronic health record (EHR) data, whereas IQ in secondary use of EHR data needs further deliberation. The current view of IQ in a healthcare context is static. It assumes that once the EHR system generates the information product, individual users may act on the information based on their subjective perception of its quality. However, this view ignores the complexities of secondary use of EHR data, in which users are actively involved in (re)generating and communicating the information product. Thus, IQ does not remain static but keeps on transforming through active engagement and interpersonal communication. To contribute to this debate, we conducted a qualitative case study in a Norwegian healthcare context by employing an IQ life cycle model. In conclusion, we enhanced the existing IQ model by (1) adding interpersonal communication, (2) showing the interrelations of the IQ dimensions, and (3) integrating the mechanisms of the transformation process for IQ in secondary use of EHR data. In doing so, we unfold the dynamics of IQ in the secondary use of EHR data.

Suggested Citation

  • Hausvik, Geir Inge & Thapa, Devinder & Munkvold, Bjørn Erik, 2021. "Information quality life cycle in secondary use of EHR data," International Journal of Information Management, Elsevier, vol. 56(C).
    • Handle: RePEc:eee:ininma:v:56:y:2021:i:c:s0268401220314262
    DOI: 10.1016/j.ijinfomgt.2020.102227
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    Cited by:

    1. Niu, Ben & Mvondo, Gustave Florentin Nkoulou, 2024. "I Am ChatGPT, the ultimate AI Chatbot! Investigating the determinants of users' loyalty and ethical usage concerns of ChatGPT," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
    2. Amit S. Malhan & Kiarash Sadeghi-R & Robert Pavur & Lou Pelton, 2024. "Healthcare information management and operational cost performance: empirical evidence," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 25(6), pages 963-977, August.

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