Literature DB >> 26958237

Understanding the acceptance factors of an Hospital Information System: evidence from a French University Hospital.

R Ologeanu-Taddei1, D Morquin2, H Domingo2, R Bourret3.   

Abstract

The goal of this study was to examine the perceived usefulness, the perceived ease of use and the perceived behavioral control of a Hospital Information System (HIS) for the care staff. We administrated a questionnaire composed of open-end and closed questions, based on the main concepts of Technology Acceptance Model. As results, the perceived usefulness, ease of use and behavioral control (self-efficacy and organizational support) are correlated with medical occupations. As an example, we found that a half of the medical secretaries consider the HIS is ease of use, at the opposite to the anesthesiologists, surgeons and physicians. Medical secretaries reported also the highest rate of PBC and a high rate of PU. Pharmacists reported the highest rate of PU but a low rate of PBC, which is similar to the rate of the surgeons and physicians. Content analysis of open questions highlights factors influencing these constructs: ergonomics, errors in the documenting process, insufficient compatibility with the medical department or the occupational group. Consequently, we suggest that the gap between the perceptions of the different occupational groups may be explained by the use of different modules and by interdependency of the care stare staff.

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Mesh:

Year:  2015        PMID: 26958237      PMCID: PMC4765578     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  10 in total

1.  Physician acceptance of telemedicine technology: an empirical investigation.

Authors:  P J Hu; P Y Chau
Journal:  Top Health Inf Manage       Date:  1999-05

2.  A proposal for electronic medical records in U.S. primary care.

Authors:  David W Bates; Mark Ebell; Edward Gotlieb; John Zapp; H C Mullins
Journal:  J Am Med Inform Assoc       Date:  2003 Jan-Feb       Impact factor: 4.497

3.  Impacts of computerized physician documentation in a teaching hospital: perceptions of faculty and resident physicians.

Authors:  Peter J Embi; Thomas R Yackel; Judith R Logan; Judith L Bowen; Thomas G Cooney; Paul N Gorman
Journal:  J Am Med Inform Assoc       Date:  2004-04-02       Impact factor: 4.497

4.  Persistent paper: the myth of "going paperless".

Authors:  Richard H Dykstra; Joan S Ash; Emily Campbell; Dean F Sittig; Ken Guappone; James Carpenter; Joshua Richardson; Adam Wright; Carmit McMullen
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

5.  The extent and importance of unintended consequences related to computerized provider order entry.

Authors:  Joan S Ash; Dean F Sittig; Eric G Poon; Kenneth Guappone; Emily Campbell; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2007-04-25       Impact factor: 4.497

6.  The effects of EMR deployment on doctors' work practices: a qualitative study in the emergency department of a teaching hospital.

Authors:  Sun Young Park; So Young Lee; Yunan Chen
Journal:  Int J Med Inform       Date:  2012-01-03       Impact factor: 4.046

7.  Exploring barriers and facilitators to the use of computerized clinical reminders.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Marta L Render; Greg Orshansky; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

8.  Role of computerized physician order entry systems in facilitating medication errors.

Authors:  Ross Koppel; Joshua P Metlay; Abigail Cohen; Brian Abaluck; A Russell Localio; Stephen E Kimmel; Brian L Strom
Journal:  JAMA       Date:  2005-03-09       Impact factor: 56.272

Review 9.  The technology acceptance model: its past and its future in health care.

Authors:  Richard J Holden; Ben-Tzion Karsh
Journal:  J Biomed Inform       Date:  2009-07-15       Impact factor: 6.317

10.  Computerized clinical documentation system in the pediatric intensive care unit.

Authors:  J A Menke; C W Broner; D Y Campbell; M Y McKissick; J A Edwards-Beckett
Journal:  BMC Med Inform Decis Mak       Date:  2001-09-17       Impact factor: 2.796

  10 in total
  2 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Factors Affecting Acceptance of Hospital Information Systems Based on Extended Technology Acceptance Model: A Case Study in Three Paraclinical Departments.

Authors:  Hamed Nadri; Bahlol Rahimi; Hadi Lotfnezhad Afshar; Mahnaz Samadbeik; Ali Garavand
Journal:  Appl Clin Inform       Date:  2018-04-04       Impact factor: 2.342

  2 in total

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