Clinical decision support systems : theory and practice by Eta S. Berner

By Eta S. Berner

Development at the good fortune of the former versions, this absolutely up-to-date booklet once more brings jointly all over the world specialists to demonstrate the underlying technological know-how and day by day use of choice help structures in scientific and academic settings.

Topics mentioned include:

-Mathematical Foundations of determination help Systems
-Design and Implementation Issues
-Ethical and felony matters in determination Support
-Clinical Trials of data Interventions
-Hospital-Based determination Support
-Real global Case Studies 

Show description

Read Online or Download Clinical decision support systems : theory and practice PDF

Best instruments & measurement books

Polymer Microscopy

Polymer Microscopy, 3rd variation, is a complete and functional advisor to the research of the microstructure of polymers, and is the results of the authors' a long time of educational and business adventure. to deal with the desires of scholars and pros from numerous backgrounds, introductory chapters take care of the elemental ideas of either polymer morphology and processing and microscopy and imaging conception.

Introduction to Confocal Fluorescence Microscopy, Second Edition

This booklet offers a accomplished account of the idea of picture formation in a confocal fluorescence microscope in addition to a pragmatic guide to the operation of the tool, its barriers, and the translation of confocal microscopy information. The appendices offer a short connection with optical thought, microscopy-related formulation and definitions, and Fourier conception.

Remote Observatories for Amateur Astronomers: Using High-Powered Telescopes from Home

Beginner astronomers who are looking to improve their features to give a contribution to technology want glance no farther than this advisor to utilizing distant observatories. The participants conceal the way to construct your personal distant observatory in addition to the prevailing infrastructure of business networks of distant observatories which are to be had to the novice.

On the Way to Understanding the Time Phenomenon: The Constructions of Time in Natural Science, Part 1

The topic of this publication is time, one of many small variety of elusive essences of the area, unsubdued through human will. the 3 international difficulties of ordinary technological know-how, these of the foundation of the Universe, existence and cognizance, can't be solved with no checking out the character of time. with no stable building of time it truly is very unlikely to explain, to qualify, to forecast and to regulate quite a few techniques within the animate and inanimate nature.

Additional info for Clinical decision support systems : theory and practice

Sample text

Signs, symptoms, laboratory and radiographic tests). Maintaining the knowledge base in such systems is the most significant bottleneck in the maintenance of such systems, since the knowledge base needs to be expanded and updated as medical knowledge grows. Input The manner in which clinical information is entered into the CDSS (user interface) varies from system to system, but most diagnostic systems require the user to select terms from its specialized, controlled vocabulary. A. Spooner Comprehension of natural language has been an elusive goal in the development of CDSS.

JAMA 1998;280:1311–1316. 5. Oliveira, J. A shotgun wedding: business decision support meets clinical decision support. J Healthc Inf Manage 2002;16:28–33. 6. DeGruy KB. Healthcare applications of knowledge discovery in databases. J. Healthc Inf Manage 2000;14:59–69. 7. Perreault LE, Metzger JB. A pragmatic framework for understanding clinical decision support. In: Middleton, B, ed. Clinical Decision Support Systems. J Healthc Inf Manage 1999;13:5–21. 8. Metzger J, MacDonald K. Clinical decision support for the independent physician practice.

Again, this conclusion is obvious, but by representing the above syllogism using symbols, where the symbol Low-CO2 represents the state of abnormally low carbon dioxide and the symbol OVERVENTILATED represents the state of an over-ventilated patient, the syllogism looks more computerfriendly: Major Premise: Low-CO2 ⇒ OVERVENTILATED Minor Premise: Low-CO2 Conclusion: OVERVENTILATED Extending this example, suppose we have another statement in our CDSS that over-ventilation should cause a high rate alarm to sound (we can represent this by the symbol HIGH-RATE-ALARM), then we can construct the syllogism: Major Premise: Low-CO2 ⇒ OVERVENTILATED Minor Premise: Over-ventilated ⇒ HIGH-RATE-ALARM Conclusion: Low-CO2 ⇒ HIGH-RATE-ALARM Thus, we have generated a new rule for the system, where the intermediate state of over-ventilation is bypassed.

Download PDF sample

Rated 4.34 of 5 – based on 27 votes