Literature DB >> 20697471

Electronic medical record systems in critical access hospitals: leadership perspectives on anticipated and realized benefits.

Troy R Mills1, Jared Vavroch, James A Bahensky, Marcia M Ward.   

Abstract

The growth of electronic medical records (EMRs) is driven by the belief that EMRs will significantly improve healthcare providers' performance and reduce healthcare costs. Evidence supporting these beliefs is limited, especially for small rural hospitals. A survey that focused on health information technology (HIT) capacity was administered to all hospitals in Iowa. Structured interviews were conducted with the leadership at 15 critical access hospitals (CAHs) that had implemented EMRs in order to assess the perceived benefits of operational EMRs. The results indicate that most of the hospitals implemented EMRs to improve efficiency, timely access, and quality. Many CAH leaders also viewed EMR implementation as a necessary business strategy to remain viable and improve financial performance. While some reasons reflect external influences, such as perceived future federal mandates, other reasons suggest that the decision was driven by internal forces, including the hospital's culture and the desires of key leaders to embrace HIT. Anticipated benefits were consistent with goals; however, realized benefits were rarely obvious in terms of quantifiable results. These findings expand the limited research on the rationale for implementing EMRs in critical access hospitals.

Entities:  

Keywords:  critical access hospital; electronic health record; electronic medical record; health information technology

Mesh:

Year:  2010        PMID: 20697471      PMCID: PMC2889369     

Source DB:  PubMed          Journal:  Perspect Health Inf Manag        ISSN: 1559-4122


  16 in total

1.  Computer physician order entry: benefits, costs, and issues.

Authors:  Gilad J Kuperman; Richard F Gibson
Journal:  Ann Intern Med       Date:  2003-07-01       Impact factor: 25.391

2.  Physicians' use of electronic medical records: barriers and solutions.

Authors:  Robert H Miller; Ida Sim
Journal:  Health Aff (Millwood)       Date:  2004 Mar-Apr       Impact factor: 6.301

Review 3.  Effects of computerized clinical decision support systems on practitioner performance and patient outcomes: a systematic review.

Authors:  Amit X Garg; Neill K J Adhikari; Heather McDonald; M Patricia Rosas-Arellano; P J Devereaux; Joseph Beyene; Justina Sam; R Brian Haynes
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 4.  Systematic review: impact of health information technology on quality, efficiency, and costs of medical care.

Authors:  Basit Chaudhry; Jerome Wang; Shinyi Wu; Margaret Maglione; Walter Mojica; Elizabeth Roth; Sally C Morton; Paul G Shekelle
Journal:  Ann Intern Med       Date:  2006-04-11       Impact factor: 25.391

5.  Clinical information system availability and use in urban and rural hospitals.

Authors:  Marcia M Ward; Mirou Jaana; James A Bahensky; Smruti Vartak; Douglas S Wakefield
Journal:  J Med Syst       Date:  2006-12       Impact factor: 4.460

6.  Role of multihospital system membership in electronic medical record adoption.

Authors:  Pengxiang Li; James A Bahensky; Mirou Jaana; Marcia M Ward
Journal:  Health Care Manage Rev       Date:  2008 Apr-Jun

7.  The evolution of electronic medical records.

Authors:  E H Shortliffe
Journal:  Acad Med       Date:  1999-04       Impact factor: 6.893

8.  HIT implementation in critical access hospitals: extent of implementation and business strategies supporting IT use.

Authors:  James A Bahensky; Marcia M Ward; Kwame Nyarko; Pengxiang Li
Journal:  J Med Syst       Date:  2009-12-02       Impact factor: 4.460

9.  Effect of critical access hospital conversion on patient safety.

Authors:  Pengxiang Li; John E Schneider; Marcia M Ward
Journal:  Health Serv Res       Date:  2007-12       Impact factor: 3.402

10.  Health care information technology in rural America: electronic medical record adoption status in meeting the national agenda.

Authors:  James A Bahensky; Mirou Jaana; Marcia M Ward
Journal:  J Rural Health       Date:  2008       Impact factor: 4.333

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  2 in total

1.  Evaluating how electronic charting affects resident productivity.

Authors:  Daniel Henning; Steven Horng; Leon Sanchez
Journal:  Intern Emerg Med       Date:  2013-01-20       Impact factor: 3.397

2.  Differentiating innovation priorities among stakeholder in hospital care.

Authors:  Mattijs S Lambooij; Marjan J Hummel
Journal:  BMC Med Inform Decis Mak       Date:  2013-08-16       Impact factor: 2.796

  2 in total

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