Literature DB >> 23304395

An application for monitoring order set usage in a commercial electronic health record.

Cadran B Cowansage1, Robert A Green, Alexander Kratz, David K Vawdrey.   

Abstract

Organizations that use electronic health records (EHRs) often maintain a considerable amount of clinical content in the form of order sets, documentation templates, and decision support rules. EHR vendors seldom provide analytic tools for customers to maintain such content and monitor its usage. We developed an application for tracking order sets, documentation templates and clinical alerts in a commercial electronic health record. Using the application, we compared trends in order set creation and usage at two academic medical centers over a three-year period. In January 2012, one medical center had 873 order sets available to clinicians; the other had 787. Approximately 50-75 new order sets were added each year at each medical center. We found that 46% of order sets at the first medical center and 39% at the second medical center were unused over the three-year period.

Mesh:

Year:  2012        PMID: 23304395      PMCID: PMC3540558     

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


  14 in total

1.  The "meaningful use" regulation for electronic health records.

Authors:  David Blumenthal; Marilyn Tavenner
Journal:  N Engl J Med       Date:  2010-07-13       Impact factor: 91.245

2.  The anatomy of decision support during inpatient care provider order entry (CPOE): empirical observations from a decade of CPOE experience at Vanderbilt.

Authors:  Randolph A Miller; Lemuel R Waitman; Sutin Chen; S Trent Rosenbloom
Journal:  J Biomed Inform       Date:  2005-10-21       Impact factor: 6.317

3.  Lessons from "Unexpected increased mortality after implementation of a commercially sold computerized physician order entry system".

Authors:  Dean F Sittig; Joan S Ash; Jiajie Zhang; Jerome A Osheroff; M Michael Shabot
Journal:  Pediatrics       Date:  2006-08       Impact factor: 7.124

4.  The Vanderbilt EvidenceWeb - developing tools to monitor and improve compliance with evidence-based order sets.

Authors:  John Starmer; Nancy Lorenzi; C Wright Pinson
Journal:  AMIA Annu Symp Proc       Date:  2006

5.  Viewpoint: controversies surrounding use of order sets for clinical decision support in computerized provider order entry.

Authors:  Anne M Bobb; Thomas H Payne; Peter A Gross
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

6.  Stimulating the adoption of health information technology.

Authors:  David Blumenthal
Journal:  N Engl J Med       Date:  2009-03-25       Impact factor: 91.245

7.  Assessing usage patterns of electronic clinical documentation templates.

Authors:  David K Vawdrey
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 8.  Medication-related clinical decision support in computerized provider order entry systems: a review.

Authors:  Gilad J Kuperman; Anne Bobb; Thomas H Payne; Anthony J Avery; Tejal K Gandhi; Gerard Burns; David C Classen; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2006-10-26       Impact factor: 4.497

9.  Giving office-based physicians electronic access to patients' prior imaging and lab results did not deter ordering of tests.

Authors:  Danny McCormick; David H Bor; Stephanie Woolhandler; David U Himmelstein
Journal:  Health Aff (Millwood)       Date:  2012-03       Impact factor: 6.301

10.  Effect of computerized physician order entry and a team intervention on prevention of serious medication errors.

Authors:  D W Bates; L L Leape; D J Cullen; N Laird; L A Petersen; J M Teich; E Burdick; M Hickey; S Kleefield; B Shea; M Vander Vliet; D L Seger
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

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  2 in total

1.  The association between use of a clinical decision support tool and adherence to monitoring for medication-laboratory guidelines in the ambulatory setting.

Authors:  B Lau; C L Overby; H S Wirtz; E B Devine
Journal:  Appl Clin Inform       Date:  2013-10-16       Impact factor: 2.342

Review 2.  Electronic Health Records: Then, Now, and in the Future.

Authors:  R S Evans
Journal:  Yearb Med Inform       Date:  2016-05-20
  2 in total

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