Literature DB >> 26958255

Adaptation of a Published Risk Model to Point-of-care Clinical Decision Support Tailored to Local Workflow.

Jeffrey L Sobel1, Craig C Baker2, David Levy1, Carol H Cain2.   

Abstract

Electronic clinical decision support can bring newly published knowledge to the point of care. However, local organizational buy-in, support for team workflows, IT system ease of use and other sociotechnical factors are needed to promote adoption. We successfully implemented a multi-variate cardiac risk stratification model from another institution into ours. We recreated the model and integrated it into our workflow, accessing it from our EHR with patient-specific data and facilitating clinical documentation if the user accepts the model results. Our clinical leaders championed the change and led educational dissemination efforts. We describe the ad-hoc social and technical collaboration needed to build and deploy the tool. The tool complements a clinical initiative within a community of practice, and is correlated with appropriate use of nuclear imaging.

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Year:  2015        PMID: 26958255      PMCID: PMC4765637     

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


  8 in total

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Authors:  C Craig Blackmore; Robert S Mecklenburg; Gary S Kaplan
Journal:  J Am Coll Radiol       Date:  2011-01       Impact factor: 5.532

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Authors:  Edward J McNulty; Yun-Yi Hung; Lucy M Almers; Alan S Go; Robert W Yeh
Journal:  JAMA       Date:  2014-03-26       Impact factor: 56.272

5.  Exercise treadmill score for predicting prognosis in coronary artery disease.

Authors:  D B Mark; M A Hlatky; F E Harrell; K L Lee; R M Califf; D B Pryor
Journal:  Ann Intern Med       Date:  1987-06       Impact factor: 25.391

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Authors:  M Berg
Journal:  Int J Med Inform       Date:  1999-08       Impact factor: 4.046

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Authors:  Dean F Sittig; Hardeep Singh
Journal:  Qual Saf Health Care       Date:  2010-10

8.  An externally validated model for predicting long-term survival after exercise treadmill testing in patients with suspected coronary artery disease and a normal electrocardiogram.

Authors:  Michael S Lauer; Claire E Pothier; David J Magid; S Scott Smith; Michael W Kattan
Journal:  Ann Intern Med       Date:  2007-12-18       Impact factor: 25.391

  8 in total

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