Clinical Decision Support Systems: Theory and Practice by Eta S. Berner EdD, FCMI, FHIMSS, Tonya J. La Lande (auth.),

By Eta S. Berner EdD, FCMI, FHIMSS, Tonya J. La Lande (auth.), Eta S. Berner EdD, FACMI, FHIMSS (eds.)

Building at the luck of the 1998 variation, Clinical selection aid platforms: conception and Practice, moment variation, once more brings jointly world wide specialists to demonstrate the underlying technology and day by day use of choice aid systmes in scientific and academic settings.

Writes the editor, "If used safely, CDSS have the capability to alter the best way medication has been taught and practiced." As scientific determination help structures (CDSS) achieve an more and more primary position within the supply of top of the range future health care, it turns into extra vital for the wellbeing and fitness care group to appreciate their use. this article is designed as a source for practising clinicians, informaticians, lecturers and scholars alike, and offers the most up-tp-date, complete glance a the improvement and overview of medical choice help systems.

issues mentioned include:

-Mathematical Foundations of choice help Systems

-Design and Implementation Issues

-Ethical and felony concerns in determination Support

-Clinical Trials of data Interventians

-Hospital-Based determination Support

-Real international Case reviews

Eta S. Berner, EdD, is a Professor of well-being Informatics on the college of Alabama at Birmingham.

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Extra info for Clinical Decision Support Systems: Theory and Practice

Sample text

16 In contrast, 2. 1. A general model of a clinical diagnostic decision support system. CDSS rely on well defined numerical techniques to do their reasoning, and they do require sufficient information to complete their formulae. While physicians can fall back on their knowledge of pathophysiology, CDSS are not well suited to situations in which hard data are unknown. To understand how these systems operate, and under what conditions they are best used, it is important to appreciate a general model of CDSS.

Warner HR, Toronto AF, Veasey LG, Stephenson R. A mathematical approach to medical diagnosis. Application to congenital heart disease. JAMA 1961;177: 177–183. 9. Warner HR Jr. Iliad: moving medical decision-making into new frontiers. Methods Inf Med 1989;28:370–372. 10. Shortliffe EH, Buchanan BG. A model of inexact reasoning in medicine. Math Biosci 1975;23:351–379. 11. Miller R, Masarie FE, Myers JD. Quick medical reference (QMR) for diagnostic assistance. MD Comput 1986;3:34–48. 12. Barnett GO, Cimino JJ, Hupp JA, Hoffer EP.

If one wanted to design a system that could handle the very realistic situation of 5 or 6 simultaneous symptoms, estimating the number of numbers needed to support the calculation would be intractable. Modifying the system to handle multiple simultaneous “diseases” adds even more to the complexity. Only after making the simplifying assumption that most disease findings are independent of one another8 do many CDSS use Bayesian approaches. One such system, Iliad,9 profitably employed this assumption.

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