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James R. Duncan, MD, PhD; Ronald G. Evens, MD

JAMA. 2009;301(22):2383-2385.

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

An important health care–related decision of the Obama administration is to reduce waste and harm by modernizing health care information technology systems. This decision would be met with more enthusiasm if the design of the final system were driven by the goal of improving the efficacy and efficiency of medical processes through a strategy of collecting meaningful data. Before spending billions creating and implementing such systems, careful consideration must be given to how this information will be integrated into medical decision making. Some of the current health care information technology systems seem to have been planned using a "ready, fire, aim" approach, with little or no concern for how the data will be used. Ideally, health care information technology systems should collect and use information to improve the probability that patients will receive optimal care. Optimized decision making is the essence . . . [Full Text of this Article]

Examples of Optimal and Suboptimal Use of Information From Radiology

Dynamic Control of Information During Fluoroscopic Procedures

The Dangers of Uncontrolled Variation

Shifting the Performance Model

Author Affiliation: Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Missouri.

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Human Information Processing, Health Information Technology, and Medical Outcomes
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