Strategic health workforce planning. Issue 12 (1st December 2016)

• Record Type: Journal Article
• Authors: Hu, Weihong; Lavieri, Mariel S.; Toriello, Alejandro; Liu, Xiang
• Is Part Of: IIE transactions. Volume 48:Issue 12(2016)
• Page Start: 1127
• Page End: 1138
• Publication Date: 2016-12-01
• Subjects: Health care -- applied optimization -- workforce planning; Industrial engineering -- Periodicals; Génie industriel; 620
• DOI: 10.1080/0740817X.2016.1204488
• Languages: English
• ISSNs: 0740-817X

Abstract

ABSTRACT: Analysts predict impending shortages in the health care workforce, yet wages for health care workers already account for over half of U.S. health expenditures. It is thus increasingly important to adequately plan to meet health workforce demand at reasonable cost. Using infinite linear programming methodology, we propose an infinite-horizon model for health workforce planning in a large health system for a single worker class; e.g., nurses. We give a series of common-sense conditions that any system of this kind should satisfy and use them to prove the optimality of a natural lookahead policy. We then use real-world data to examine how such policies perform in more complex systems; in particular, our experiments show that a natural extension of the lookahead policy performs well when incorporating stochastic demand growth.