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Overview of Clinical Decision Support Systems in Healthcare

Overview of Clinical Decision Support Systems in Healthcare

Jane Dominique Moon, Mary P. Galea
ISBN13: 9781522505716|ISBN10: 1522505717|EISBN13: 9781522505723
DOI: 10.4018/978-1-5225-0571-6.ch064
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MLA

Moon, Jane Dominique, and Mary P. Galea. "Overview of Clinical Decision Support Systems in Healthcare." Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, IGI Global, 2017, pp. 1501-1527. https://doi.org/10.4018/978-1-5225-0571-6.ch064

APA

Moon, J. D. & Galea, M. P. (2017). Overview of Clinical Decision Support Systems in Healthcare. In I. Management Association (Ed.), Medical Imaging: Concepts, Methodologies, Tools, and Applications (pp. 1501-1527). IGI Global. https://doi.org/10.4018/978-1-5225-0571-6.ch064

Chicago

Moon, Jane Dominique, and Mary P. Galea. "Overview of Clinical Decision Support Systems in Healthcare." In Medical Imaging: Concepts, Methodologies, Tools, and Applications, edited by Information Resources Management Association, 1501-1527. Hershey, PA: IGI Global, 2017. https://doi.org/10.4018/978-1-5225-0571-6.ch064

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Abstract

Clinical Decision Support Systems (CDSS) are software designed to help clinicians to make decisions about patient diagnosis using technical devices such as desktops, laptops and iPads, and mobile devices, to obtain medical information and set up alert systems to monitor medication. A Clinical Decision Support System has been suggested by many as a key to a solution for improving patient safety together with Physician Based Computer Order Entry. This technology could prove to be very important in conditions such as chronic diseases where health outlay is high and where self-efficacy can affect health outcomes. However, the success of CDSS relies on technology, training and ongoing support. This chapter includes a historical overview and practical application of CDSS in medicine, and discusses challenges involved with implementation of such systems. It discusses new frontiers of CDSS and implications of self-management using social computing technologies, in particular in the management of chronic disease.

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