Literature DB >> 20935277

Use of the prioritization matrix to enhance triage algorithms in clinical decision support software.

Frederick North1, Prathibha Varkey.   

Abstract

Clinical decision support (CDS) software requires regular maintenance and development. CDS software can be very complex and can have several different performance parameters that need to be considered in development and maintenance cycles. Stakeholders in management and software development need a shared and mutually agreed on framework to prioritize the development and maintenance of CDS software. The prioritization matrix, a quality improvement tool, was used to prioritize triage algorithms at Ask Mayo Clinic, a national triage call center. Key elements used in the priority matrix were the frequency of algorithm use, potential safety impact of the algorithm, algorithm length, overall agreement between software recommendation and triage nurse, and asymmetry of nurse overrides of the software recommendation. This methodology also bridges the language gap between software developers and management and gives management the ability to customize how software maintenance and development cycles are prioritized.

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Year:  2010        PMID: 20935277     DOI: 10.1177/1062860610370990

Source DB:  PubMed          Journal:  Am J Med Qual        ISSN: 1062-8606            Impact factor:   1.852


  2 in total

1.  Development and evaluation of a comprehensive clinical decision support taxonomy: comparison of front-end tools in commercial and internally developed electronic health record systems.

Authors:  Adam Wright; Dean F Sittig; Joan S Ash; Joshua Feblowitz; Seth Meltzer; Carmit McMullen; Ken Guappone; Jim Carpenter; Joshua Richardson; Linas Simonaitis; R Scott Evans; W Paul Nichol; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2011-03-17       Impact factor: 4.497

2.  Measuring colposcopy quality in Canada: development of population-based indicators.

Authors:  K Decker; N Baines; C Muzyka; M Lee; M H Mayrand; H Yang; S Fung; D Mercer; S McFaul; R Kupets; R Savoie; R Lotocki; J Bentley
Journal:  Curr Oncol       Date:  2019-06-01       Impact factor: 3.677

  2 in total

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