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  Vol. 302 No. 13, October 7, 2009 TABLE OF CONTENTS
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Human Information Processing, Health Information Technology, and Medical Outcomes

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

To the Editor: In their Commentary, Drs Duncan and Evens1 are correct that before the wholesale adoption of health information technology, a profound re-evaluation of the designs of current systems is needed. However, their emphasis on explicit algorithms warrants refinement, and their dismissal of subjective input deserves reconsideration.

Medical research has been overwhelmingly about pathophysiology and has generated few answers to practice-based questions. Most practical decisions currently have little or no evidence to support an algorithm or guideline. Even if all of the research to sustain the necessary guidelines were affordable, however, there would be a more profound problem. Explicit algorithms presuppose that a singular target point exists. Yet optimal outcomes for individual patients require the reconciliation of multiple targets, including statistical evidence that may or may not apply; patient and system resources; patient, family, and professional preferences; and the individual's intersecting disease states. The balance of competing forces creates . . . [Full Text of this Article]

Thomas M. Wilkinson, MD
tmwilkinson@pol.net
St Mary's Hospital
Leonardtown, Maryland



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RELATED ARTICLE

Using Information to Optimize Medical Outcomes
James R. Duncan and Ronald G. Evens
JAMA. 2009;301(22):2383-2385.
EXTRACT | FULL TEXT  

RELATED LETTER

Human Information Processing, Health Information Technology, and Medical Outcomes—Reply
James R. Duncan and Ronald G. Evens
JAMA. 2009;302(13):1417-1418.
EXTRACT | FULL TEXT  






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