Managing healthcare costs by peer-group modeling

We describe statistical methods for managing healthcare costs using peer-group models and outlier detection. A peer group is a collection of similar entities such as patients, physicians, clinics, hospitals or pharmacies. In an empirical study of drug volumes prescribed by physicians, we examined th...

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Veröffentlicht in:	Applied intelligence (Dordrecht, Netherlands) Netherlands), 2015-12, Vol.43 (4), p.752-759
Hauptverfasser:	Weiss, Sholom M., Kulikowski, Casimir A., Galen, Robert S., Olsen, Peder A., Natarajan, Ramesh
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial Intelligence Codes Computer Science Cost reduction Costs Drug stores Expected values Fraud Fraud prevention Health care Health care expenditures Hypertension Industrialized nations Intelligence Kidney diseases Machines Manufacturing Mathematical models Mechanical Engineering Outliers (statistics) Patients Peers Pharmacy Physicians Processes Statistical methods
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