Paper type: Proposal (eHealth) Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods
نویسندگان
چکیده
Gang Luo1, PhD; Bryan L Stone2, MD, MS; Farrant Sakaguchi3, MD, MS; Xiaoming Sheng4, PhD; Maureen A Murtaugh5, PhD, RDN 1Department of Biomedical Informatics, University of Utah, Suite 140, 421 Wakara Way, Salt Lake City, UT 84108, USA 2Department of Pediatrics, University of Utah, 100 N Mario Capecchi Drive, Salt Lake City, UT 84113, USA 3Department of Family and Preventive Medicine, University of Utah, 375 Chipeta Way, Suite A, Salt Lake City, UT 84108, USA 4Department of Pediatrics, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA 5Department of Internal Medicine, University of Utah, 295 Chipeta Way, Salt Lake City, UT 84108, USA [email protected], [email protected], [email protected], [email protected], [email protected]
منابع مشابه
Using Computational Approaches to Improve Risk-Stratified Patient Management: Rationale and Methods
BACKGROUND Chronic diseases affect 52% of Americans and consume 86% of health care costs. A small portion of patients consume most health care resources and costs. More intensive patient management strategies, such as case management, are usually more effective at improving health outcomes, but are also more expensive. To use limited resources efficiently, risk stratification is commonly used i...
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