Applying Dynamic Causal Mining in Health Service Management

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Author(s): Yi Wang (Nottingham Trent University, UK)
Copyright: 2011
Pages: 20
Source title: Developments in Healthcare Information Systems and Technologies: Models and Methods
Source Author(s)/Editor(s): Joseph Tan (McMaster University, Canada)
DOI: 10.4018/978-1-61692-002-9.ch018

Keywords: Health Information Systems / Medical Information Science Reference / Medicine & Healthcare

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Abstract

This article describes an application that illustrates the role of data mining technology in identifying hidden causal knoledge from health and medical data repositories. Across the health care and medical enterprises, a wide variety of data is being generated at a rapid rate. Current information technologies tends to focus on a more statical side of causal knowledge and do not address the dynamic causal knowledge. This article shows that the dynamic causal relation data can be captured for treatment, payment, operations purposes and administrative directed insights. Accessing this currently unrealized knowledge potential would enable the delivery of actionable knowledge to medical practitioners, healthcare system managers, policy planners and even patients to make a significant difference in overall healthcare.

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Applying Dynamic Causal Mining in Health Service Management

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