Literature DB >> 21458763

The effect of incorporating guidelines into a computerized order entry system for diagnostic imaging.

Sarah Bowen1, Keir Johnson, Martin H Reed, Liping Zhang, Lynn Curry.   

Abstract

PURPOSE: The objectives of this collaborative evaluation of the Manitoba Demonstration Project in Demand-Side Control for Diagnostic Imaging were to determine the impacts of both the computerized order entry and decision support components of the intervention, identify barriers to implementation, and provide insight into quantitative findings.
METHODS: Mixed methodology was used. A stakeholder committee guided project implementation and evaluation and assisted in interpreting findings. Orders placed through the software (July 2006 to August 2007) were analyzed in conjunction with qualitative data from semistructured interviews, focus groups, consultations, and observational methods. Data were collected before implementation, after the introduction of the computerized ordering system, after the introduction of decision support prompts, and at project completion. Analysis was conducted simultaneously with data collection.
RESULTS: Although the process change of computerized provider order entry was well accepted, there was low acceptance of the practice change of decision support. Of 8,757 orders placed after guidelines were activated, 1,678 (19.2%) had relevant guidelines and 957 (10.9%) were inappropriate according to the guidelines. In only 19 (2%) of these cases did the physician follow the advice given. Contributing factors included setting, implementation of only a subsection of the Canadian Association of Radiologists guidelines, implementation issues, physician perspectives on usefulness of decision support, the timing of advice, a lack of integration with existing patient information systems, and software limitations. Setting predicted satisfaction with ordering time. The potential for computerized provider order entry to decrease useful information accompanying orders was identified.
CONCLUSIONS: The results of this study highlight the importance of ensuring both appropriate timing of decision support and integration with patient information systems. Implementation evaluation, as well as impact evaluation, is needed to assess new system adoption; early engagement of users can support this process. Further research is needed to determine the actual extent of inappropriate ordering.
Copyright © 2011 American College of Radiology. Published by Elsevier Inc. All rights reserved.

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Mesh:

Year:  2011        PMID: 21458763     DOI: 10.1016/j.jacr.2010.11.020

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  9 in total

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3.  The use of decision support to measure documented adherence to a national imaging quality measure.

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4.  Yield of CT Pulmonary Angiography in the Emergency Department When Providers Override Evidence-based Clinical Decision Support.

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Journal:  Radiology       Date:  2016-09-30       Impact factor: 11.105

5.  Does clinical decision support reduce unwarranted variation in yield of CT pulmonary angiogram?

Authors:  Luciano M Prevedello; Ali S Raja; Ivan K Ip; Aaron Sodickson; Ramin Khorasani
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6.  Effectiveness of Clinical Decision Support Systems on the Appropriate Use of Imaging for Central Nervous System Injuries: A Systematic Review.

Authors:  Sahar Zare; Zohre Mobarak; Zahra Meidani; Ehsan Nabovati; Zahra Nazemi
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7.  Low-Value Diagnostic Imaging in Children with Medicaid.

Authors:  Jennifer R Marin; Mara A G Hollander; Kristin N Ray; Julie M Donohue; Evan S Cole
Journal:  J Pediatr       Date:  2021-02-06       Impact factor: 6.314

8.  A qualitative study to understand guideline-discordant use of imaging to stage incident prostate cancer.

Authors:  Danil V Makarov; Erica Sedlander; R Scott Braithwaite; Scott E Sherman; Steven Zeliadt; Cary P Gross; Caitlin Curnyn; Michele Shedlin
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9.  Unnecessary ordering of magnetic resonance imaging of the knee: A retrospective chart review of referrals to orthopedic surgeons.

Authors:  Heba Tallah Mohammed; Samuel Yoon; Thomas Hupel; Lori-Anne Payson
Journal:  PLoS One       Date:  2020-11-02       Impact factor: 3.240

  9 in total

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