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Using Information to Optimize Medical Outcomes

Using Information to Optimize Medical Outcomes COMMENTARY Using Information to Optimize Medical Outcomes is obtained by passing messenger particles (high-energy pho- James R. Duncan, MD, PhD tons) through the patient. The patient’s internal condition Ronald G. Evens, MD creates patterns that, together with random noise, influ- ence the spatial distribution of photons striking the detec- N IMPORTANT HEALTH CARE–RELATED DECISION OF tor. The imaging equipment transforms this information into the Obama administration is to reduce waste and a visible image. Photons emanating from that image con- harm by modernizing health care information tech- vey the information to a physician, who interprets the im- Anology systems. This decision would be met with age using pattern-recognition algorithms. These algo- more enthusiasm if the design of the final system were driven rithms attempt to detect the underlying patterns and translate by the goal of improving the efficacy and efficiency of medi- them into an understanding of the patient’s condition. This cal processes through a strategy of collecting meaningful data. understanding is expressed as a differential diagnosis that Before spending billions creating and implementing such is subsequently refined by integration of information ob- systems, careful consideration must be given to how this in- tained from other sources. For example, http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png JAMA American Medical Association

Using Information to Optimize Medical Outcomes

JAMA , Volume 301 (22) – Jun 10, 2009

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Publisher
American Medical Association
Copyright
Copyright 2009 American Medical Association. All Rights Reserved. Applicable FARS/DFARS Restrictions Apply to Government Use.
ISSN
0098-7484
eISSN
1538-3598
DOI
10.1001/jama.2009.827
pmid
19509387
Publisher site
See Article on Publisher Site

Abstract

COMMENTARY Using Information to Optimize Medical Outcomes is obtained by passing messenger particles (high-energy pho- James R. Duncan, MD, PhD tons) through the patient. The patient’s internal condition Ronald G. Evens, MD creates patterns that, together with random noise, influ- ence the spatial distribution of photons striking the detec- N IMPORTANT HEALTH CARE–RELATED DECISION OF tor. The imaging equipment transforms this information into the Obama administration is to reduce waste and a visible image. Photons emanating from that image con- harm by modernizing health care information tech- vey the information to a physician, who interprets the im- Anology systems. This decision would be met with age using pattern-recognition algorithms. These algo- more enthusiasm if the design of the final system were driven rithms attempt to detect the underlying patterns and translate by the goal of improving the efficacy and efficiency of medi- them into an understanding of the patient’s condition. This cal processes through a strategy of collecting meaningful data. understanding is expressed as a differential diagnosis that Before spending billions creating and implementing such is subsequently refined by integration of information ob- systems, careful consideration must be given to how this in- tained from other sources. For example,

Journal

JAMAAmerican Medical Association

Published: Jun 10, 2009

References