Literature DB >> 15492028

Accelerating U.S. EHR adoption: how to get there from here. recommendations based on the 2004 ACMI retreat.

Blackford Middleton1, W Ed Hammond, Patricia F Brennan, Gregory F Cooper.   

Abstract

Despite growing support for the adoption of electronic health records (EHR) to improve U.S. healthcare delivery, EHR adoption in the United States is slow to date due to a fundamental failure of the healthcare information technology marketplace. Reasons for the slow adoption of healthcare information technology include a misalignment of incentives, limited purchasing power among providers, variability in the viability of EHR products and companies, and limited demonstrated value of EHRs in practice. At the 2004 American College of Medical Informatics (ACMI) Retreat, attendees discussed the current state of EHR adoption in this country and identified steps that could be taken to stimulate adoption. In this paper, based upon the ACMI retreat, and building upon the experiences of the authors developing EHR in academic and commercial settings we identify a set of recommendations to stimulate adoption of EHR, including financial incentives, promotion of EHR standards, enabling policy, and educational, marketing, and supporting activities for both the provider community and healthcare consumers.

Mesh:

Year:  2004        PMID: 15492028      PMCID: PMC543821          DOI: 10.1197/jamia.M1669

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  14 in total

1.  Using information systems to measure and improve quality.

Authors:  D W Bates; E Pappius; G J Kuperman; D Sittig; H Burstin; D Fairchild; T A Brennan; J M Teich
Journal:  Int J Med Inform       Date:  1999 Feb-Mar       Impact factor: 4.046

2.  Will electronic order entry reduce health care costs?

Authors:  Christian M Birkmeyer; Joshua Lee; David W Bates; John D Birkmeyer
Journal:  Eff Clin Pract       Date:  2002 Mar-Apr

3.  Bridges to excellence: a program to start closing the quality chasm in healthcare.

Authors:  Francois de Brantes
Journal:  J Healthc Qual       Date:  2003 Mar-Apr       Impact factor: 1.095

4.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

5.  Potential benefits of the new Leapfrog standards: effect of process and outcomes measures.

Authors:  John D Birkmeyer; Justin B Dimick
Journal:  Surgery       Date:  2004-06       Impact factor: 3.982

6.  Barriers to proliferation of electronic medical records.

Authors:  Ignacio Valdes; David C Kibbe; Greg Tolleson; Mark E Kunik; Laura A Petersen
Journal:  Inform Prim Care       Date:  2004

7.  Will the wave finally break? A brief view of the adoption of electronic medical records in the United States.

Authors:  Eta S Berner; Don E Detmer; Donald Simborg
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

8.  Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion.

Authors:  Joan S Ash; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

9.  A cost-benefit analysis of electronic medical records in primary care.

Authors:  Samuel J Wang; Blackford Middleton; Lisa A Prosser; Christiana G Bardon; Cynthia D Spurr; Patricia J Carchidi; Anne F Kittler; Robert C Goldszer; David G Fairchild; Andrew J Sussman; Gilad J Kuperman; David W Bates
Journal:  Am J Med       Date:  2003-04-01       Impact factor: 4.965

10.  Supporting patient care beyond the clinical encounter: three informatics innovations from partners health care.

Authors:  Eric G Poon; Jonathan Wald; David W Bates; Blackford Middleton; Gilad J Kuperman; Tejal K Gandhi
Journal:  AMIA Annu Symp Proc       Date:  2003
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  27 in total

1.  Factors associated with difficult electronic health record implementation in office practice.

Authors:  Marshall Fleurant; Rachel Kell; Chelsea Jenter; Lynn A Volk; Fang Zhang; David W Bates; Steven R Simon
Journal:  J Am Med Inform Assoc       Date:  2012-01-16       Impact factor: 4.497

2.  Assessing differences between physicians' realized and anticipated gains from electronic health record adoption.

Authors:  Lori T Peterson; Eric W Ford; John Eberhardt; Timothy R Huerta; Nir Menachemi
Journal:  J Med Syst       Date:  2009-08-08       Impact factor: 4.460

3.  The population health record: concepts, definition, design, and implementation.

Authors:  Daniel J Friedman; R Gibson Parrish
Journal:  J Am Med Inform Assoc       Date:  2010 Jul-Aug       Impact factor: 4.497

4.  HIV patients' willingness to share personal health information electronically.

Authors:  Paul A Teixeira; Peter Gordon; Eli Camhi; Suzanne Bakken
Journal:  Patient Educ Couns       Date:  2010-08-17

5.  Factors and forces affecting EHR system adoption: report of a 2004 ACMI discussion.

Authors:  Joan S Ash; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

6.  Predicting the adoption of electronic health records by physicians: when will health care be paperless?

Authors:  Eric W Ford; Nir Menachemi; M Thad Phillips
Journal:  J Am Med Inform Assoc       Date:  2005-10-12       Impact factor: 4.497

7.  e-Prescribing, efficiency, quality: lessons from the computerization of UK family practice.

Authors:  Charles P Schade; Frank M Sullivan; Simon de Lusignan; Jean Madeley
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

Review 8.  Reviewing the benefits and costs of electronic health records and associated patient safety technologies.

Authors:  Nir Menachemi; Robert G Brooks
Journal:  J Med Syst       Date:  2006-06       Impact factor: 4.460

9.  Implementation challenges for clinical and research information systems: recommendations from the 2007 winter symposium of the American College Of Medical Informatics.

Authors:  Eta S Berner
Journal:  J Am Med Inform Assoc       Date:  2008-02-28       Impact factor: 4.497

10.  The impact of e-prescribing on prescriber and staff time in ambulatory care clinics: a time motion study.

Authors:  William Hollingworth; Emily Beth Devine; Ryan N Hansen; Nathan M Lawless; Bryan A Comstock; Jennifer L Wilson-Norton; Kathleen L Tharp; Sean D Sullivan
Journal:  J Am Med Inform Assoc       Date:  2007-08-21       Impact factor: 4.497

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