Document Detail


Optimizing financial effects of HIE: a multi-party linear programming approach.
MedLine Citation:
PMID:  22733978     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
MATERIALS AND 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.
DISCUSSION: 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.
Authors:
Srikrishna Sridhar; Patricia Flatley Brennan; Stephen J Wright; Stephen M Robinson
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Publication Detail:
Type:  Journal Article; Research Support, N.I.H., Extramural     Date:  2012-06-25
Journal Detail:
Title:  Journal of the American Medical Informatics Association : JAMIA     Volume:  19     ISSN:  1527-974X     ISO Abbreviation:  J Am Med Inform Assoc     Publication Date:    2012 Nov-Dec
Date Detail:
Created Date:  2012-10-18     Completed Date:  2013-04-25     Revised Date:  2013-11-15    
Medline Journal Info:
Nlm Unique ID:  9430800     Medline TA:  J Am Med Inform Assoc     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1082-8     Citation Subset:  IM    
Affiliation:
Computer Sciences, University of Wisconsin-Madison, Madison, Wisconsin, USA. srikris@cs.wisc.edu
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MeSH Terms
Descriptor/Qualifier:
Chronic Disease / therapy
Cost Savings
Emergency Service, Hospital / economics*
Health Care Costs / statistics & numerical data*
Health Information Systems / economics*
Hospital Costs
Humans
Insurance, Health, Reimbursement
Linear Models
Medical Record Linkage*
Models, Econometric
Outcome Assessment (Health Care) / economics*
Unnecessary Procedures / economics,  statistics & numerical data
Wisconsin
Grant Support
ID/Acronym/Agency:
1UL1RR025011/RR/NCRR NIH HHS; 9U54TR000021/TR/NCATS NIH HHS; LM 8949/LM/NLM NIH HHS; UL1 TR000427/TR/NCATS NIH HHS
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