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Data-Driven and Practice-Based Evidence: Design and Development of Efficient and Effective Clinical Decision Support System

Data-Driven and Practice-Based Evidence: Design and Development of Efficient and Effective Clinical Decision Support System

Hamzah Osop, Tony Sahama
Copyright: © 2016 |Pages: 34
ISBN13: 9781466694323|ISBN10: 1466694327|EISBN13: 9781466694330
DOI: 10.4018/978-1-4666-9432-3.ch014
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MLA

Osop, Hamzah, and Tony Sahama. "Data-Driven and Practice-Based Evidence: Design and Development of Efficient and Effective Clinical Decision Support System." Improving Health Management through Clinical Decision Support Systems, edited by Jane D. Moon and Mary P. Galea, IGI Global, 2016, pp. 295-328. https://doi.org/10.4018/978-1-4666-9432-3.ch014

APA

Osop, H. & Sahama, T. (2016). Data-Driven and Practice-Based Evidence: Design and Development of Efficient and Effective Clinical Decision Support System. In J. Moon & M. Galea (Eds.), Improving Health Management through Clinical Decision Support Systems (pp. 295-328). IGI Global. https://doi.org/10.4018/978-1-4666-9432-3.ch014

Chicago

Osop, Hamzah, and Tony Sahama. "Data-Driven and Practice-Based Evidence: Design and Development of Efficient and Effective Clinical Decision Support System." In Improving Health Management through Clinical Decision Support Systems, edited by Jane D. Moon and Mary P. Galea, 295-328. Hershey, PA: IGI Global, 2016. https://doi.org/10.4018/978-1-4666-9432-3.ch014

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Abstract

Decision making is such an integral aspect in health care routine that the ability to make the right decisions at crucial moments can lead to patient health improvements. Evidence-based practice, the paradigm used to make those informed decisions, relies on the use of current best evidence from systematic research such as randomized controlled trials. Limitations of the outcomes from RCT, such as “quantity” and “quality” of evidence generated, has lowered healthcare professionals' confidence in using EBP. An alternate paradigm of Practice-Based Evidence has evolved with the key being evidence drawn from practice settings. Through the use of health information technology, electronic health records capture relevant clinical practice “evidence”. A data-driven approach is proposed to capitalize on the benefits of EHR. The issues of data privacy, security and integrity are diminished by an information accountability concept. Data warehouse architecture completes the data-driven approach by integrating health data from multi-source systems, unique within the healthcare environment.

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