Literature DB >> 15318579

Overcoming barriers to adopting and implementing computerized physician order entry systems in U.S. hospitals.

Eric G Poon1, David Blumenthal, Tonushree Jaggi, Melissa M Honour, David W Bates, Rainu Kaushal.   

Abstract

Few U.S. hospitals have implemented computerized physician order entry (CPOE) in spite of its effectiveness at preventing serious medication errors. We interviewed senior management at twenty-six hospitals to identify ways to overcome barriers to adopting and implementing CPOE. Within the hospital, strong leadership and high-quality technology were critical. Hospitals that placed a high priority on patient safety could more easily justify the cost of CPOE. Outside the hospital, financial incentives and public pressures encouraged CPOE adoption. Dissemination of data standards would accelerate the maturation of vendors and lower CPOE costs. These findings highlight several policy levers to speed the adoption of this important patient safety technology.

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Year:  2004        PMID: 15318579     DOI: 10.1377/hlthaff.23.4.184

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  87 in total

1.  Characteristics associated with hospital health IT vendor switching and dropping.

Authors:  Eric J Lammers; Kai Zheng
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Computerized provider-order entry: challenges, achievements, and opportunities.

Authors:  Kevin Johnson
Journal:  J Am Med Inform Assoc       Date:  2011 Nov-Dec       Impact factor: 4.497

3.  The effect of Computerized Physician Order Entry and decision support system on medication errors in the neonatal ward: experiences from an Iranian teaching hospital.

Authors:  Alireza Kazemi; Johan Ellenius; Faramarz Pourasghar; Shahram Tofighi; Aref Salehi; Ali Amanati; Uno G H Fors
Journal:  J Med Syst       Date:  2009-07-17       Impact factor: 4.460

4.  Developing and validating a model to predict the success of an IHCS implementation: the Readiness for Implementation Model.

Authors:  Kuang-Yi Wen; David H Gustafson; Robert P Hawkins; Patricia F Brennan; Susan Dinauer; Pauley R Johnson; Tracy Siegler
Journal:  J Am Med Inform Assoc       Date:  2010 Nov-Dec       Impact factor: 4.497

5.  The effects of a hands-free communication device system in a surgical suite.

Authors:  Joshua E Richardson; Sina Shah-Hosseini; John E Fiadjoe; Joan S Ash; Mohamed A Rehman
Journal:  J Am Med Inform Assoc       Date:  2010-11-27       Impact factor: 4.497

6.  Top 10 Lessons Learned from Electronic Medical Record Implementation in a Large Academic Medical Center.

Authors:  Milisa K Rizer; Beth Kaufman; Cynthia J Sieck; Jennifer L Hefner; Ann Scheck McAlearney
Journal:  Perspect Health Inf Manag       Date:  2015-07-01

7.  Ranked Levels of Influence model: selecting influence techniques to minimize IT resistance.

Authors:  Christa E Bartos; Brian S Butler; Rebecca S Crowley
Journal:  J Biomed Inform       Date:  2010-02-20       Impact factor: 6.317

8.  What stands in the way of technology-mediated patient safety improvements?: a study of facilitators and barriers to physicians' use of electronic health records.

Authors:  Richard J Holden
Journal:  J Patient Saf       Date:  2011-12       Impact factor: 2.844

9.  Information technology as a tool to improve the quality of American Indian health care.

Authors:  Thomas D Sequist; Theresa Cullen; John Z Ayanian
Journal:  Am J Public Health       Date:  2005-10-27       Impact factor: 9.308

10.  Computerised order entry systems and pathology services--a synthesis of the evidence.

Authors:  Andrew Georgiou; Johanna I Westbrook
Journal:  Clin Biochem Rev       Date:  2006-05
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