Development of a Clinical Pathways Analysis System with Adaptive Bayesian Nets and Data Mining Techniques
Dianne Kopec, G Shagas, Daniel Reinharth, Suzanne R Tamang · Studies in health technology and informatics · 2004
The use and development of software in the medical field offers tremendous opportunities for making health care delivery more efficient, more effective, and less error-prone. We discuss and explore the use of clinical pathways analysis with Adaptive Bayesian Networks and Data Mining Techniques to perform such analyses. The computation of "lift" (a measure of completed pathways improvement potential) leads us to optimism regarding the potential for this approach.