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Can computers save health care? IU research shows lower costs, better outcomes
Date:2/11/2013

said. "They just don't have all of that information available to them."

Using the growing availability of electronic health records, health information exchanges, large public biomedical databases, and machine learning algorithms, the researchers believe the approach could serve as the basis for personalized treatment through integration of diverse, large-scale data passed along to clinicians at the time of decision-making for each patient. Centerstone alone, Bennett noted, has access to health information on over one million patients each year.

"Even with the development of new AI techniques that can approximate or even surpass human decision-making performance, we believe that the most effective long term path could be combining artificial intelligence with human clinicians," Bennett said. "Let humans do what they do well, and let machines do what they do well. In the end, we may maximize the potential of both."


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Contact: Steve Chaplin
stjchap@iu.edu
812-856-1896
Indiana University
Source:Eurekalert  

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