Using predictive analytics and big data to optimize pharmaceutical outcomes-Reference-Cited by-同舟云学术

Using predictive analytics and big data to optimize pharmaceutical outcomes

Published:2017-09-15 Issue:18 Volume:74 Page:1494-1500
ISSN:1079-2082
Container-title:American Journal of Health-System Pharmacy
language:en
Short-container-title:

Author:

Hernandez Inmaculada¹,Zhang Yuting²

Affiliation:

1. Department of Pharmacy and Therapeutics, School of Pharmacy, University of Pittsburgh, Pittsburgh, PA

2. Department of Health Policy and Management, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA

Publisher

Oxford University Press (OUP)

Subject

Health Policy,Pharmacology

Link

http://academic.oup.com/ajhp/article-pdf/74/18/1494/28450627/ajhp1494.pdf

Reference32 articles.

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3. Pharmacist-provided medication therapy management (MTM) program impacts outcomes for employees with diabetes;Pinto;Popul Health Manag,2014

4. Can disease management reduce health care costs by improving quality?;Fireman;Health Aff,2004

5. Congressional Budget Office. Lessons from Medicare’s demonstration projects on disease management, care coordination, and value-based payment. www.cbo.gov/sites/default/files/112th-congress-2011-2012/reports/01-18-12-MedicareDemoBrief.pdf (accessed 2016 Sep 26).

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