Optimizing financial effects of HIE: a multi-party linear programming approach.
OBJECTIVE
To describe an analytical framework for quantifying the societal savings and financial consequences of a health information exchange (HIE), and to demonstrate its use in designing pricing policies for sustainable HIEs.


METHODS
We developed a linear programming model to (1) quantify the financial worth of HIE information to each of its participating institutions and (2) evaluate three HIE pricing policies: fixed-rate annual, charge per visit, and charge per look-up. We considered three desired outcomes of HIE-related emergency care (modeled as parameters): preventing unrequired hospitalizations, reducing duplicate tests, and avoiding emergency department (ED) visits. We applied this framework to 4639 ED encounters over a 12-month period in three large EDs in Milwaukee, Wisconsin, using Medicare/Medicaid claims data, public reports of hospital admissions, published payer mix data, and use data from a not-for-profit regional HIE.


RESULTS
For this HIE, data accesses produced net financial gains for all providers and payers. Gains, due to HIE, were more significant for providers with more health maintenance organizations patients. Reducing unrequired hospitalizations and avoiding repeat ED visits were responsible for more than 70% of the savings. The results showed that fixed annual subscriptions can sustain this HIE, while ensuring financial gains to all participants. Sensitivity analysis revealed that the results were robust to uncertainties in modeling parameters.


CONCLUSIONS
Our specific HIE pricing recommendations depend on the unique characteristics of this study population. However, our main contribution is the modeling approach, which is broadly applicable to other populations.
Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA. srikris@cs.wisc.edu
Srikrishna
S
Sridhar
Patricia Flatley
PF
Brennan
Stephen J
SJ
Wright
Stephen M
SM
Robinson
D002908:Chronic Disease / Q000628:therapy; D017046:Cost Savings; D004636:Emergency Service, Hospital / Q000191:economics*; D017048:Health Care Costs / Q000706:statistics & numerical data*; D063005:Health Information Systems / Q000191:economics*; D017721:Hospital Costs; D006801:Humans; D007349:Insurance, Health, Reimbursement; D016014:Linear Models; D008498:Medical Record Linkage; D017059:Models, Econometric; D017063:Outcome Assessment, Health Care / Q000191:economics*; D019564:Unnecessary Procedures / Q000191:economics / Q000706:statistics & numerical data; D014922:Wisconsin