The financial impact of health information exchange on emergency department care

Autor: Pat A Turri, Coda L. Davison, Kevin B. Johnson, Hui Nian, Cynthia S. Gadd, Mark E. Frisse, Qingxia Chen, Kim M. Unertl
Rok vydání: 2012
Předmět:
Male
biomedical informatics
e-prescribing
information services/organization and administration
Logistic regression
information services/economics
electronic health records/economics
methods for integration of information from disparate sources
Patient Admission
collaborative technologies
Outcome Assessment
Health Care

Electronic Health Records
policy making
Hospital Costs
Generalized estimating equation
demonstrating return on IT investment
distributed systems
Financial impact
social/organizational study
qualitative/ethnographic field study
Health information exchange
Health Care Costs
improving healthcare workflow and process efficiency
Tennessee
Cost savings
system implementation and management issues
Female
Medical Record Linkage
Medical emergency
Emergency Service
Hospital

Models
Econometric

human factors
Adult
pediatrics
MEDLINE
Health Informatics
biomedical/methods
Unnecessary Procedures
Research and Applications
costs and cost analysis
national health programs/economics
Cost Savings
clinical informatics
medicine
Humans
improving the education and skills training of health professionals
business.industry
Agents
Odds ratio
Emergency department
technology assessment
medicine.disease
Logistic Models
designing usable (responsive) resources and systems
business
surveys and needs analysis
Zdroj: Journal of the American Medical Informatics Association : JAMIA
ISSN: 1527-974X
1067-5027
DOI: 10.1136/amiajnl-2011-000394
Popis: Objective To examine the financial impact health information exchange (HIE) in emergency departments (EDs). Materials and Methods We studied all ED encounters over a 13-month period in which HIE data were accessed in all major emergency departments Memphis, Tennessee. HIE access encounter records were matched with similar encounter records without HIE access. Outcomes studied were ED-originated hospital admissions, admissions for observation, laboratory testing, head CT, body CT, ankle radiographs, chest radiographs, and echocardiograms. Our estimates employed generalized estimating equations for logistic regression models adjusted for admission type, length of stay, and Charlson co-morbidity index. Marginal probabilities were used to calculate changes in outcome variables and their financial consequences. Results HIE data were accessed in approximately 6.8% of ED visits across 12 EDs studied. In 11 EDs directly accessing HIE data only through a secure Web browser, access was associated with a decrease in hospital admissions (adjusted odds ratio (OR)=0.27; p
Databáze: OpenAIRE