Literature DB >> 6618871

Implementation of a medical information system: evaluation of adaptation.

M A Counte, K H Kjerulff, J C Salloway, B C Campbell.   

Abstract

A study was conducted to explain variability in hospital employee responses to the implementation of a medical information system. Results showed that 28 to 35 percent of the variance in adaptation was explained by the predictor variables, and that the significant variables were attitudes toward computers in general, role ambiguity, personality attributes, the person's work shift and previous history of job mobility.

Entities:  

Mesh:

Year:  1983        PMID: 6618871

Source DB:  PubMed          Journal:  Health Care Manage Rev        ISSN: 0361-6274


  6 in total

Review 1.  Development and initial validation of an instrument to measure physicians' use of, knowledge about, and attitudes toward computers.

Authors:  R D Cork; W M Detmer; C P Friedman
Journal:  J Am Med Inform Assoc       Date:  1998 Mar-Apr       Impact factor: 4.497

2.  Initial impact of a clinical laboratory computer system. Themes common to expectations and actualities.

Authors:  B Kaplan
Journal:  J Med Syst       Date:  1987-06       Impact factor: 4.460

3.  Adapting to the implementation of a medical information system: a comparison of short- versus long-term findings.

Authors:  M A Counte; K H Kjerulff; J C Salloway; B C Campbell
Journal:  J Med Syst       Date:  1987-02       Impact factor: 4.460

4.  [Computer-assisted surgery documentation in clinical routine practice].

Authors:  A Röhrborn; C Ohmann; S Epstein; H D Röher
Journal:  Langenbecks Arch Chir       Date:  1993

5.  Hospital information systems. The relationship between nurse involvement in selection and nurse utilization.

Authors:  H M Bursley; P L Tikkanen; N R Feistritzer; M L Zweber; D C Murdock
Journal:  J Med Syst       Date:  1985-04       Impact factor: 4.460

6.  Economic and organizational impact of a clinical decision support system on laboratory test ordering.

Authors:  Elena Bellodi; Emidia Vagnoni; Barbara Bonvento; Evelina Lamma
Journal:  BMC Med Inform Decis Mak       Date:  2017-12-22       Impact factor: 2.796

  6 in total

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