Literature DB >> 10566430

Evaluation of an implementation of PRODIGY phase two.

J Rogers1, N L Jain, G M Hayes.   

Abstract

PRODIGY is a prescribing decision-support tool that encourages evidence-based cost-effective prescribing and supports information for patients with patient information leaflets. Following two successful pilot phases, the Department of Health has announced plans for a nation-wide rollout to all general practitioners in the UK. This paper describes the implementation and evaluation of PRODIGY Phase Two by AAH Meditel, one of the five participating GP system vendors. Based on the results and feedback from Phase One, Meditel made a number of changes to the software and training for Phase Two. The results showed Meditel's implementation of Phase Two was significantly better than the implementation of the other vendors (27% use versus 13% use), and also significantly better than its own implementation of Phase One (27% use versus 9.3% use). Patient information leaflets were issued 5.7% of the times versus 2.3% for the other vendors and 1.0% for Phase One. Detailed log files enabled the evaluation of the implementation of both phases and the software and training improvements made in Phase Two, and are recommended for the successful implementation of any clinical decision-support system project.

Entities:  

Mesh:

Year:  1999        PMID: 10566430      PMCID: PMC2232873     

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


  9 in total

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Authors:  I N Purves
Journal:  Br J Gen Pract       Date:  1998-09       Impact factor: 5.386

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Authors:  D F Sittig
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Authors:  R Linnarsson
Journal:  Med Inform (Lond)       Date:  1993 Apr-Jun

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Authors:  R S Evans; S L Pestotnik; D C Classen; T P Clemmer; L K Weaver; J F Orme; J F Lloyd; J P Burke
Journal:  N Engl J Med       Date:  1998-01-22       Impact factor: 91.245

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Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

  9 in total
  3 in total

1.  Web based information on clinical toxicology for the United Kingdom: uptake and utilization of TOXBASE in 2000.

Authors:  D Nicholas Bateman; Alison M Good; Catherine A Kelly; William J Laing
Journal:  Br J Clin Pharmacol       Date:  2002-07       Impact factor: 4.335

2.  A simple, flexible and scalable approach for generating tailored questionnaires and health education messages.

Authors:  Jennifer M Macri; Stephen M Downs; Wendy Demark-Wahnefried; Denise C Snyder; David F Lobach
Journal:  Comput Inform Nurs       Date:  2005 Nov-Dec       Impact factor: 1.985

3.  Automating complex guidelines for chronic disease: lessons learned.

Authors:  Saverio M Maviglia; Rita D Zielstorff; Marilyn Paterno; Jonathan M Teich; David W Bates; Gilad J Kuperman
Journal:  J Am Med Inform Assoc       Date:  2003 Mar-Apr       Impact factor: 4.497

  3 in total

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