Literature DB >> 16717265

Getting physicians to accept new information technology: insights from case studies.

Liette Lapointe1, Suzanne Rivard.   

Abstract

BACKGROUND: The success or failure of a computer information system (CIS) depends on whether physicians accept or resist its implementation. Using case studies, we analyzed the implementation of such systems in 3 hospitals to understand better the dynamics of physicians' resistance to CIS implementation.
METHODS: We selected cases to maximize variation while allowing comparison of CIS implementations. Data were collected from observations, documentation and interviews, the last being the main source of data. Interviewees comprised 15 physicians, 14 nurses and 14 system implementers. Transcripts were produced; 45 segments of the transcripts were coded by several judges, with an appropriate level of intercoder reliability. We conducted within-case and cross-case analyses of the data.
RESULTS: Initially, most staff were neutral or enthusiastic about the CIS implementations. During implementation, the level of resistance varied and in 2 instances became great enough to lead to major disruptions and system withdrawal. Implementers' responses to physicians' resistance behaviours played a critical role. In one case, the responses were supportive and addressed the issues related to the real object of resistance; the severity of resistance decreased, and the CIS implementation was ultimately successful. In the other 2 cases, the implementers' responses reinforced the resistance behaviours. Three types of responses had such an effect in these cases: implementers' lack of response to resistance behaviours, antagonistic responses, and supportive responses aimed at the wrong object of resistance.
INTERPRETATION: The 3 cases we analyzed showed the importance of the roles played by implementers and users in determining the outcomes of a CIS implementation.

Entities:  

Mesh:

Year:  2006        PMID: 16717265      PMCID: PMC1459884          DOI: 10.1503/cmaj.050281

Source DB:  PubMed          Journal:  CMAJ        ISSN: 0820-3946            Impact factor:   8.262


  31 in total

1.  If electronic medical records are so great, why aren't family physicians using them?

Authors:  Glenn A Loomis; J Scott Ries; Robert M Saywell; Nitesh R Thakker
Journal:  J Fam Pract       Date:  2002-07       Impact factor: 0.493

2.  The use of computers for clinical care: a case series of advanced U.S. sites.

Authors:  David F Doolan; David W Bates; Brent C James
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

3.  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

4.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

5.  Reducing the frequency of errors in medicine using information technology.

Authors:  D W Bates; M Cohen; L L Leape; J M Overhage; M M Shabot; T Sheridan
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

6.  Improving response to critical laboratory results with automation: results of a randomized controlled trial.

Authors:  G J Kuperman; J M Teich; M J Tanasijevic; N Ma'Luf; E Rittenberg; A Jha; J Fiskio; J Winkelman; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1999 Nov-Dec       Impact factor: 4.497

7.  Enhancement of clinicians' diagnostic reasoning by computer-based consultation: a multisite study of 2 systems.

Authors:  C P Friedman; A S Elstein; F M Wolf; G C Murphy; T M Franz; P S Heckerling; P L Fine; T M Miller; V Abraham
Journal:  JAMA       Date:  1999-11-17       Impact factor: 56.272

Review 8.  How can information technology improve patient safety and reduce medication errors in children's health care?

Authors:  R Kaushal; K N Barker; D W Bates
Journal:  Arch Pediatr Adolesc Med       Date:  2001-09

Review 9.  Computerised reminders and feedback in medication management: a systematic review of randomised controlled trials.

Authors:  John W Bennett; Paul P Glasziou
Journal:  Med J Aust       Date:  2003-03-03       Impact factor: 7.738

10.  Effectiveness of the electronic medical record in improving the management of hypertension.

Authors:  James W Kinn; Joseph C Marek; Michael F O'Toole; Stephen M Rowley; Vincent J Bufalino
Journal:  J Clin Hypertens (Greenwich)       Date:  2002 Nov-Dec       Impact factor: 3.738

View more
  46 in total

1.  Modeling nurses' acceptance of bar coded medication administration technology at a pediatric hospital.

Authors:  Richard J Holden; Roger L Brown; Matthew C Scanlon; Ben-Tzion Karsh
Journal:  J Am Med Inform Assoc       Date:  2012-06-03       Impact factor: 4.497

2.  Behavioral health providers' beliefs about health information exchange: a statewide survey.

Authors:  Nancy Shank
Journal:  J Am Med Inform Assoc       Date:  2011-12-18       Impact factor: 4.497

Review 3.  Systematic review of factors influencing the adoption of information and communication technologies by healthcare professionals.

Authors:  Marie-Pierre Gagnon; Marie Desmartis; Michel Labrecque; Josip Car; Claudia Pagliari; Pierre Pluye; Pierre Frémont; Johanne Gagnon; Nadine Tremblay; France Légaré
Journal:  J Med Syst       Date:  2010-03-30       Impact factor: 4.460

4.  Surgeons' perspective of a newly initiated electronic medical record.

Authors:  Richard Frazee; Laura Harmon; Harry T Papaconstantinou
Journal:  Proc (Bayl Univ Med Cent)       Date:  2016-01

5.  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

6.  Physicians will happily adopt information technology.

Authors:  David Zitner
Journal:  CMAJ       Date:  2006-05-23       Impact factor: 8.262

7.  Addiction treatment agencies' use of data: a qualitative assessment.

Authors:  Jennifer P Wisdom; James H Ford Ii; Randy A Hayes; Eldon Edmundson; Kim Hoffman; Dennis McCarty
Journal:  J Behav Health Serv Res       Date:  2006-10       Impact factor: 1.505

8.  Physician resistance to new information technology.

Authors:  Cyril I Gryfe
Journal:  CMAJ       Date:  2007-02-27       Impact factor: 8.262

9.  Challenges substance abuse treatment agencies faced in adoption of computer-based technology to improve assessment.

Authors:  Jennifer Wisdom; Roy Gabriel; Eldon Edmundson; Sarann Bielavitz; Joe Hromco
Journal:  J Behav Health Serv Res       Date:  2007-11-03       Impact factor: 1.505

10.  Information technology and infectious diseases: Promise and pitfalls.

Authors:  A Mark Joffe
Journal:  Can J Infect Dis Med Microbiol       Date:  2007-11       Impact factor: 2.471

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.