Literature DB >> 21322296

Alternative measures of electronic health record adoption among hospitals.

Fredric E Blavin1, Melinda J Beeuwkes Buntin, Charles P Friedman.   

Abstract

OBJECTIVE: To develop measures of the use of electronic health records (EHRs) that accurately reflect the full continuum of hospital adoption and progress toward meaningful use and to understand the intercorrelations and patterns associated with hospital adoption of specific EHR functions. STUDY
DESIGN: This study analyzed the 2009 American Hospital Association (AHA) information technology (IT) supplement survey. The main section of this survey assessed the adoption and use of 24 EHR functionalities in the following major categories: electronic clinical documentation, results viewing, computerized provider order entry, and clinical decision support.
METHODS: This study relied on descriptive statistical methods and a principal component factor analysis.
RESULTS: We found that 11.4% of hospitals met all and 48.3% met half or more of the core criteria that are included in both the AHA IT survey and the final "meaningful-use" rule. The results from our factor analysis imply that hospitals adopt groups of similar EHR functions, but choices to adopt across major categories are relatively independent.
CONCLUSIONS: Many hospitals have adopted multiple features of EHRs and tend to use a staged adoption strategy based on logical groupings of functions. These results indicate to policymakers that there is no single path toward adoption of advanced EHR systems.

Mesh:

Year:  2010        PMID: 21322296

Source DB:  PubMed          Journal:  Am J Manag Care        ISSN: 1088-0224            Impact factor:   2.229


  8 in total

1.  The agreement and internal consistency of national hospital EMR measures.

Authors:  Abby Swanson Kazley; Mark L Diana; Nir Menachemi
Journal:  Health Care Manag Sci       Date:  2011-05-26

2.  Reliability and validity of the American Hospital Association's national longitudinal survey of health information technology adoption.

Authors:  Jordan Everson; Shoou-Yih D Lee; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2014-03-12       Impact factor: 4.497

3.  Meaningful Use of Electronic Health Records and Medicare Expenditures: Evidence from a Panel Data Analysis of U.S. Health Care Markets, 2010-2013.

Authors:  Eric J Lammers; Catherine G McLaughlin
Journal:  Health Serv Res       Date:  2016-08-22       Impact factor: 3.402

4.  Patterns of health information exchange strategies underlying health information technologies capabilities building.

Authors:  Placide Poba-Nzaou; Sylvestre Uwizeyemungu; Mamadou Dakouo; Anicet Tchibozo; Bocar Mboup
Journal:  Health Syst (Basingstoke)       Date:  2021-07-16

5.  Using Latent Class Analysis to Identify Sophistication Categories of Electronic Medical Record Systems in U.S. Acute Care Hospitals.

Authors:  Christopher M Shea; Bryan J Weiner; Charles M Belden
Journal:  Soc Sci Comput Rev       Date:  2012-02-06       Impact factor: 4.578

Review 6.  Factors associated with adoption of health information technology: a conceptual model based on a systematic review.

Authors:  Clemens Scott Kruse; Jonathan DeShazo; Forest Kim; Lawrence Fulton
Journal:  JMIR Med Inform       Date:  2014-05-23

7.  Reconsidering hospital EHR adoption at the dawn of HITECH: implications of the reported 9% adoption of a "basic" EHR.

Authors:  Jordan Everson; Joshua C Rubin; Charles P Friedman
Journal:  J Am Med Inform Assoc       Date:  2020-08-01       Impact factor: 4.497

8.  Computerized provider documentation: findings and implications of a multisite study of clinicians and administrators.

Authors:  Peter J Embi; Charlene Weir; Efthimis N Efthimiadis; Stephen M Thielke; Ashley N Hedeen; Kenric W Hammond
Journal:  J Am Med Inform Assoc       Date:  2013-01-25       Impact factor: 4.497

  8 in total

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