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Developing and Measuring the Business Case for Health Information Technology

Developing and Measuring the Business Case for Health Information Technology

Duncan Wade Unwin, Louis Sanzogni, Kuldeep Sandhu
Copyright: © 2019 |Pages: 29
ISBN13: 9781522569152|ISBN10: 1522569154|EISBN13: 9781522569169
DOI: 10.4018/978-1-5225-6915-2.ch018
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MLA

Unwin, Duncan Wade, et al. "Developing and Measuring the Business Case for Health Information Technology." Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2019, pp. 369-397. https://doi.org/10.4018/978-1-5225-6915-2.ch018

APA

Unwin, D. W., Sanzogni, L., & Sandhu, K. (2019). Developing and Measuring the Business Case for Health Information Technology. In I. Management Association (Ed.), Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications (pp. 369-397). IGI Global. https://doi.org/10.4018/978-1-5225-6915-2.ch018

Chicago

Unwin, Duncan Wade, Louis Sanzogni, and Kuldeep Sandhu. "Developing and Measuring the Business Case for Health Information Technology." In Healthcare Policy and Reform: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 369-397. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-6915-2.ch018

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Abstract

This chapter examines the adoption of information technology and information systems to support the clinical process. It explores popular models of information systems adoption and success, and relates these to the health it context. The end result of successful adoption of technology should be the improvement in performance of health care delivery, yet measurement of performance is complex. The various approaches to performance measurement are discussed. As one of the challenges in predicting the outcomes of adoption is the lack of consistent taxonomy, a solution to which is proposed. The chapter then looks at evaluation of it projects and considers what special factors may affect health it adoption and benefits in developing health care systems.

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