Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Knowledge Discovery in Clinical Databases: Issues and Processes

Knowledge Discovery in Clinical Databases: Issues and Processes
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Author(s): M. R. Kraft (Loyola University, USA), K. C. Desouza (University of Illinois at Chicago, USA)and I. Androwich (Loyola University, USA)
Copyright: 2002
Pages: 4
Source title: Issues & Trends of Information Technology Management in Contemporary Organizations
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-930708-39-6.ch044
ISBN13: 9781930708396
EISBN13: 9781466641358


The healthcare field is facing strong pressures for cost reduction along with demands for increased quality of service. As a strategy to address these issues, healthcare information systems are being utilized in the field to help in decision support and knowledge management. The knowledge discovery process consists of several segments: data gathering, data cleansing, information generation, information mining, knowledge generation, knowledge storage and distribution. Knowledge Discovery in Clinical Databases: Issues and Process examines the processes of data acquisition and data cleaning as they pertain to nursing information management within a spinal cord injury (SCI) clinical database. A long-term goal of clinical database analysis is the achievement of greater efficiency and effectiveness in the use of resources for nursing care delivery. The focus of the paper is on pertinent data cleaning issues faced while gathering data for a data-mining project. Areas of future research are also discussed.

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