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Clinical Decision Support Systems and Predictive Analytics

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Machine Learning with Health Care Perspective

Part of the book series: Learning and Analytics in Intelligent Systems ((LAIS,volume 13))

Abstract

The chapter introduces the history of the clinical decision support system beginning with the history of the system of decision making. It is an overview of how the clinical decision support systems developed through the years. The current technology used in decision making are also discussed. With the use of artificial intelligence, the clinical decision support systems have moved to the realm of predictive analysis to find out the possibilities of diseases rather than just the diagnosis and treatment. The chapter also elaborates the various types of clinical decision supports systems. Although the decision support systems are widely regard as an important and integral part of healthcare there has been a notable reluctance in the use of clinical decision support systems. The chapter also discusses the practical challenges in the implementation of the clinical decision support systems in healthcare organisations. Each of the topics in the chapter is dealt with summarily and the reference to a detailed study is provide. The idea is to provide a clear understanding of the system rather than to fully elaborate the system.

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  1. Department of Computer Science, Sacred Heart College, Tirupattur, Tamil Nadu, India

    Ravi Lourdusamy & Xavierlal J. Mattam

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    Jyotir Moy Chatterjee

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Lourdusamy, R., Mattam, X.J. (2020). Clinical Decision Support Systems and Predictive Analytics. In: Jain, V., Chatterjee, J. (eds) Machine Learning with Health Care Perspective. Learning and Analytics in Intelligent Systems, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-030-40850-3_14

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