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Optimizing the Use and Adoption of Healthcare Information Systems: A Systematic Review

Optimizing the Use and Adoption of Healthcare Information Systems: A Systematic Review

Wilfred Bonney
ISBN13: 9781466698826|ISBN10: 1466698829|EISBN13: 9781466698833
DOI: 10.4018/978-1-4666-9882-6.ch007
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MLA

Bonney, Wilfred. "Optimizing the Use and Adoption of Healthcare Information Systems: A Systematic Review." Applying Business Intelligence to Clinical and Healthcare Organizations, edited by José Machado and António Abelha, IGI Global, 2016, pp. 136-152. https://doi.org/10.4018/978-1-4666-9882-6.ch007

APA

Bonney, W. (2016). Optimizing the Use and Adoption of Healthcare Information Systems: A Systematic Review. In J. Machado & A. Abelha (Eds.), Applying Business Intelligence to Clinical and Healthcare Organizations (pp. 136-152). IGI Global. https://doi.org/10.4018/978-1-4666-9882-6.ch007

Chicago

Bonney, Wilfred. "Optimizing the Use and Adoption of Healthcare Information Systems: A Systematic Review." In Applying Business Intelligence to Clinical and Healthcare Organizations, edited by José Machado and António Abelha, 136-152. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9882-6.ch007

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Abstract

Advancements in Information and Communication Technology (ICT) have led to the development of various forms of electronic records to support general practitioners and healthcare providers in capturing, storing, and retrieving routinely collected medical records and/or clinical information for optimal primary care and translational research. These advancements have resulted in the emergence of interoperable Healthcare Information Systems (HIS) such as Electronic Health Records (EHRs), Electronic Medical Records (EMRs) and Personal Health Records (PHRs). However, even as these systems continue to evolve, the research community is interested in understanding how the use and adoption of HIS can be optimized to support effective and efficient healthcare delivery and translational research. In this chapter, a systematic literature review methodology was used not only to explore the key benefits and technical challenges of HIS, but also to discuss the optimization approaches to maximizing the use and adoption of HIS in healthcare delivery.

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