Document Detail


A framework for predicting EHR adoption attitudes: a physician survey.
MedLine Citation:
PMID:  20169013     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
With a focus on improving the quality of patient care, the President George W. Bush called for electronic health records (EHRs) for all Americans by the year 2014; however, recent estimates for EHR adoption in the ambulatory care environment are just over 10 percent. The objective of this study was to determine the individual characteristics and the social and technical factors that may contribute to physician acceptance of EHRs. This first paper of a two-part study presents a framework grounded in Diffusion of Innovations theory and the Technology Acceptance Model, which was developed using case study and survey methods, and tested using structural equation modeling (SEM). Model variables explained over 73 percent of the variance in attitude toward EHRs, and acceptable model fit was achieved. Lack of user acceptance continues to impede diffusion of EHRs, and this analysis supports the impact that leadership and other organizational changes have on user adoption.
Authors:
Mary E Morton; Susan Wiedenbeck
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Publication Detail:
Type:  Journal Article     Date:  2009-09-16
Journal Detail:
Title:  Perspectives in health information management / AHIMA, American Health Information Management Association     Volume:  6     ISSN:  1559-4122     ISO Abbreviation:  Perspect Health Inf Manag     Publication Date:  2009  
Date Detail:
Created Date:  2010-02-19     Completed Date:  2010-06-10     Revised Date:  2013-03-21    
Medline Journal Info:
Nlm Unique ID:  101219871     Medline TA:  Perspect Health Inf Manag     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1a     Citation Subset:  IM    
Affiliation:
University of Mississippi Medical Center, School of Health Related Professions, Jackson, MS, USA.
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MeSH Terms
Descriptor/Qualifier:
Academic Medical Centers
Adult
American Recovery and Reinvestment Act
Analysis of Variance
Attitude of Health Personnel*
Attitude to Computers*
Computer Literacy
Computer User Training
Diffusion of Innovation*
Electronic Health Records* / organization & administration
Humans
Leadership
Mississippi
Models, Psychological
Physician-Patient Relations
Physicians / psychology*
Professional Autonomy
Questionnaires
Regression Analysis
United States
User-Computer Interface
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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