Bringing clinical accuracy to provider profiling systems.
Traditional provider profiling systems have difficulty accounting for the wide-ranging differences between patients, their conditions, and the physicians' practices. However, new technologies and methodologies that can extract the needed information from existing data sources offer a means of accurately and efficiently comparing the performance of providers, specialties, networks, and other elements of managed care organizations. Profiling can strengthen the bonds of trust between the providers and the managed care organization, making them partners in delivering quality care.
Dubois
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Value Health Sciences, Santa Monica, CA, USA.
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D000465:Algorithms; D015897:Comorbidity; D003625:Data Collection / Q000592:standards*; D003953:Diagnosis-Related Groups / Q000191:economics / Q000706:statistics & numerical data; D017050:Episode of Care; D005251:Fees, Medical / Q000706:statistics & numerical data; D006801:Humans; D007345:Insurance Claim Review / Q000458:organization & administration; D008329:Managed Care Programs / Q000191:economics / Q000592:standards*; D008331:Management Information Systems; D008511:Medicine / Q000592:standards / Q000706:statistics & numerical data; D010818:Practice Patterns, Physicians' / Q000191:economics / Q000592:standards / Q000706:statistics & numerical data*; D012720:Severity of Illness Index; D013038:Specialization; D013997:Time Factors; D014481:United States; D000078329:Workforce