Optimization of community health center locations and service offerings with statistical need estimation

Paul M. Griffin, Christina R. Scherrer, Julie L. Swann

Research output: Contribution to journalArticlepeer-review

67 Scopus citations


Community Health Centers (CHCs) provide family-oriented healthcare services for people living in rural and urban medically underserved communities; they are an important part of the government's plan to make healthcare more affordable. An optimization model is developed to determine the best location and number of new CHCs in a geographical network, as well as what services each CHC should offer at which capacity level. The weighted demand coverage of the needy population is maximized subject to budget and capacity constraints, where costs are fixed and variable. Statistical methods are applied to national health databases to determine important predictors of healthcare need and disease weights, and these methods are applied to census data to obtain county-based estimates of demand. Using several performance metrics such as the number of encounters, service of uninsured persons, and coverage of rural counties, the results of the system approach to location are analyzed using the state of Georgia as a prototype. It is demonstrated that optimizing the overall network can result in improvements of 20% in several measures. The proposed model is used to analyze policy questions such as how to serve the uninsured.

Original languageEnglish (US)
Pages (from-to)880-892
Number of pages13
JournalIIE Transactions (Institute of Industrial Engineers)
Issue number9
StatePublished - Sep 2008

All Science Journal Classification (ASJC) codes

  • Industrial and Manufacturing Engineering


Dive into the research topics of 'Optimization of community health center locations and service offerings with statistical need estimation'. Together they form a unique fingerprint.

Cite this