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Author Peden, Ann H
Title Factors affecting adoption of electronic health record (EHR) systems in United States hospitals
book jacket
Descript 167 p
Note Source: Dissertation Abstracts International, Volume: 70-09, Section: B, page: 5416
Adviser: John Hyde
Thesis (Ph.D.)--The University of Mississippi Medical Center, 2009
Statement of the problem. Despite the potential for improvement in quality of care, patient safety, and population health, robust electronic health record (EHR) systems have not been widely adopted in United States hospitals. This study uses the theory of diffusion of innovations to examine the influence of hospital size, ownership and control, rural or metropolitan location, educational orientation, and health care system involvement on the adoption of the following EHR components: clinical data repository (CDR), clinical decision support systems (CDSS), computerized provider order entry (CPOE), order entry and order communication, electronic medical record (EMR), and physician documentation systems
Methods. The study used data from the HIMSS Analytics(TM) Database and the AHA Annual Survey Database(TM). A logistic regression model was used to assess the effect of the predictor variables on adoption of each of the EHR components as separate outcome variables. Analysis of variance (ANOVA) was used to assess the effect of the predictor variables on the total number of EHR components adopted
Results. Ownership and control and hospital size were significant predictors for adoption of all six EHR components. Metropolitan location was significant for adoption of EMR, CPOE, and Physician Documentation systems. The type of system affiliation was significant for CDR, CDSS, and EMR adoption. Academic orientation, as measured by presence of a graduate medical education program, was significant only for adoption of CDR and CPOE
There were statistically significant differences in the number of EHR components adopted for all five predictor variables. Hospitals in centralized health systems adopted more components than those in decentralized or independent health systems and those with no health system membership. Large hospitals adopted more than medium and small hospitals and medium hospitals more than small hospitals. Nongovernment, not for profit hospitals adopted more than government, nonfederal and investor-owned (for-profit); government, nonfederal hospitals also adopted more than investor-owned. Metropolitan hospitals adopted more than non-metropolitan. Hospitals with residency programs adopted more than those without such programs
School code: 0805
Host Item Dissertation Abstracts International 70-09B
Subject Health Sciences, Health Care Management
Computer Science
Alt Author The University of Mississippi Medical Center
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