The Imperfect Science of Evaluating Performance: How Bad and Who Cares?-Reference-Cited by-同舟云学术

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The Imperfect Science of Evaluating Performance: How Bad and Who Cares?

Published:2022-03 Issue:3 Volume:175 Page:448-449
ISSN:0003-4819
Container-title:Annals of Internal Medicine
language:en
Short-container-title:Ann Intern Med

Author:

Schwartz Aaron L.¹,Werner Rachel M.²^ORCID

Affiliation:

1. Department of Medical Ethics and Health Policy and Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Crescenz VA Medical Center, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania

2. Division of General Internal Medicine, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Crescenz VA Medical Center, and Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, Pennsylvania

Publisher

American College of Physicians

Subject

General Medicine,Internal Medicine

Reference6 articles.

1. Incorporating machine learning and social determinants of health indicators into prospective risk adjustment for health plan payments

2. Adjusting Risk Adjustment — Accounting for Variation in Diagnostic Intensity

3. Predictability and predictiveness in health care spending

4. Screening in Contract Design: Evidence from the ACA Health Insurance Exchanges

5. Data transformations to improve the performance of health plan payment methods

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