Electronic medical record-based multicondition models to predict the risk of 30 day readmission or death among adult medicine patients: validation and comparison to existing models

Author:

Amarasingham Ruben,Velasco Ferdinand,Xie Bin,Clark Christopher,Ma Ying,Zhang Song,Bhat Deepa,Lucena Brian,Huesch Marco,Halm Ethan A.

Publisher

Springer Science and Business Media LLC

Subject

Health Informatics,Health Policy,Computer Science Applications

Reference28 articles.

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2. Centers for Medicare and Medicaid Services. Readmissions Reduction Program. Available at: http://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Readmissions-Reduction-Program.html . Accessed on November 20, 2013.

3. Seow H, Phillips CO, Rich MW, Spertus JA, Krumholz HM, Lynn J. Isolation of health services research from practice and policy: the example of chronic heart failure management. J Am Geriatr Soc. 2006;54(3):535–40.

4. Goodman DC, Fisher ES, Chang C-H. After Hospitalization: A Dartmouth Atlas Report on Post-Acute Care for Medicare Beneficiaries. Hanover, NH: The Dartmouth Institute for Health Policy and Clinical Practice; 2011.

5. Kansagara D, Englander H, Salanitro A, Kagen D, Theobald C, Freeman M, et al. Risk Prediction Models for Hospital Readmission: A Systematic Review. Washington (DC): Department of Veterans Affairs (US); 2011.

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