Literature DB >> 11080016

Assessing the implementation process.

C Weir, C McCarthy, S Gohlinghorst, R Crockett.   

Abstract

A Computerized Patient Record System (CPRS) has many benefits and could improve health care outcomes. Reaping these benefits, however, is dependent on successful implementation of a provider order entry system. The literature supports substantial evidence that even systems that are usable, effective and reliable have not been adopted by the intended users. A successful implementation may be substantially a function of the degree to which the processes of care have changed to adapt to the new system. To ensure successful implementation we suggest monitoring the implementation process itself. The purpose of this paper is to report the methodology we developed for assessing how successfully a provider order entry system is being implemented. We adopt a model of diffusion of information technology developed by Fichman (1994) and expanded by Ash (1997). In this model, diffusion is characterized be three categories, "breadth" (infusion) and "depth" (diffusion) and "quality" (appropriateness of use). In this paper we discuss the typology of diffusion and describe specific measures designed to measure infusion and diffusion of a hospital information system.

Entities:  

Mesh:

Year:  2000        PMID: 11080016      PMCID: PMC2243919     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  9 in total

1.  Computerized physician order entry and quality of care.

Authors:  D W Bates; G Kuperman; J M Teich
Journal:  Qual Manag Health Care       Date:  1994       Impact factor: 0.926

2.  Physician order entry in U.S. hospitals.

Authors:  J S Ash; P N Gorman; W R Hersh
Journal:  Proc AMIA Symp       Date:  1998

3.  Implementation of physician order entry: user satisfaction and self-reported usage patterns.

Authors:  F Lee; J M Teich; C D Spurr; D W Bates
Journal:  J Am Med Inform Assoc       Date:  1996 Jan-Feb       Impact factor: 4.497

4.  Organizational factors that influence information technology diffusion in academic health sciences centers.

Authors:  J Ash
Journal:  J Am Med Inform Assoc       Date:  1997 Mar-Apr       Impact factor: 4.497

Review 5.  Computer-based physician order entry: the state of the art.

Authors:  D F Sittig; W W Stead
Journal:  J Am Med Inform Assoc       Date:  1994 Mar-Apr       Impact factor: 4.497

6.  Introducing physician order entry at a major academic medical center: I. Impact on organizational culture and behavior.

Authors:  T A Massaro
Journal:  Acad Med       Date:  1993-01       Impact factor: 6.893

Review 7.  Antecedents of the people and organizational aspects of medical informatics: review of the literature.

Authors:  N M Lorenzi; R T Riley; A J Blyth; G Southon; B J Dixon
Journal:  J Am Med Inform Assoc       Date:  1997 Mar-Apr       Impact factor: 4.497

8.  Reminders to physicians from an introspective computer medical record. A two-year randomized trial.

Authors:  C J McDonald; S L Hui; D M Smith; W M Tierney; S J Cohen; M Weinberger; G P McCabe
Journal:  Ann Intern Med       Date:  1984-01       Impact factor: 25.391

9.  Physician inpatient order writing on microcomputer workstations. Effects on resource utilization.

Authors:  W M Tierney; M E Miller; J M Overhage; C J McDonald
Journal:  JAMA       Date:  1993-01-20       Impact factor: 56.272

  9 in total
  2 in total

1.  Computerized physician order entry and communication: reciprocal impacts.

Authors:  Richard Dykstra
Journal:  Proc AMIA Symp       Date:  2002

2.  Pediatricians and personal digital assistants: what type are they using?

Authors:  Aaron E Carroll; Dimitri A Christakis
Journal:  AMIA Annu Symp Proc       Date:  2003
  2 in total

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