Literature DB >> 23786668

Impact of provider-led, technology-enabled radiology management program on imaging.

Ivan K Ip1, Louise Schneider, Steven Seltzer, Allen Smith, Jessica Dudley, Andrew Menard, Ramin Khorasani.   

Abstract

OBJECTIVE: The study objective was to assess the impact of a provider-led, technology-enabled radiology medical management program on high-cost imaging use.
METHODS: This study was performed in the ambulatory setting of an integrated healthcare system. After negotiating a risk contract with a major commercial payer, we created a physician-led radiology medical management program to help address potentially inappropriate high-cost imaging use. The radiology medical management program was enabled by a computerized physician order entry system with integrated clinical decision support and accountability tools, including (1) mandatory peer-to-peer consultation with radiologists before order completion when test utility was uncertain on the basis of order requisition; (2) quarterly practice pattern variation reports to providers; and (3) academic detailing for targeted outliers. The primary outcome measure was intensity of high-cost imaging, defined as the number of outpatient computed tomography (CT), magnetic resonance imaging (MRI), and nuclear cardiology studies per 1000 patient-months in the payer's panel. Chi-square test was used to assess trends.
RESULTS: In 1.8 million patient-months from January 2004 to December 2009, 50,336 eligible studies were performed (54.1% CT, 40.3% MRI, 5.6% nuclear cardiology). There was a 12.0% sustained reduction in high-cost imaging intensity over the 5-year period (P < .001). The number of CT studies performed decreased from 17.5 per 1000 patient-months to 14.5 (P < .01); nuclear cardiology examinations decreased from 2.4 to 1.4 (P < .01) per 1000 patient-months. The MRI rate remained unchanged at 11 studies per 1000 patient-months.
CONCLUSION: A provider-led radiology medical management program enabled through health information technology and accountability tools may produce a significant reduction in high-cost imaging use.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Health information technology; Health policy; Imaging use

Mesh:

Year:  2013        PMID: 23786668     DOI: 10.1016/j.amjmed.2012.11.034

Source DB:  PubMed          Journal:  Am J Med        ISSN: 0002-9343            Impact factor:   4.965


  15 in total

1.  Evaluating Terminologies to Enable Imaging-Related Decision Rule Sharing.

Authors:  Zihao Yan; Ronilda Lacson; Ivan Ip; Vladimir Valtchinov; Ali Raja; David Osterbur; Ramin Khorasani
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

Review 2.  Bits and bytes: the future of radiology lies in informatics and information technology.

Authors:  James A Brink; Ronald L Arenson; Thomas M Grist; Jonathan S Lewin; Dieter Enzmann
Journal:  Eur Radiol       Date:  2017-03-09       Impact factor: 5.315

Review 3.  Personalization and Patient Involvement in Decision Support Systems: Current Trends.

Authors:  S Quaglini; L Sacchi; G Lanzola; N Viani
Journal:  Yearb Med Inform       Date:  2015-08-13

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

Authors:  Zihao Yan; Ivan K Ip; Ali S Raja; Anurag Gupta; Joshua M Kosowsky; Ramin Khorasani
Journal:  Radiology       Date:  2016-09-30       Impact factor: 11.105

Review 5.  Journal club: Requiring clinical justification to override repeat imaging decision support: impact on CT use.

Authors:  Stacy D O'Connor; Aaron D Sodickson; Ivan K Ip; Ali S Raja; Michael J Healey; Louise I Schneider; Ramin Khorasani
Journal:  AJR Am J Roentgenol       Date:  2014-11       Impact factor: 3.959

6.  Effect of Evidence-based Clinical Decision Support on the Use and Yield of CT Pulmonary Angiographic Imaging in Hospitalized Patients.

Authors:  Ruth M Dunne; Ivan K Ip; Sarah Abbett; Esteban F Gershanik; Ali S Raja; Andetta Hunsaker; Ramin Khorasani
Journal:  Radiology       Date:  2015-02-13       Impact factor: 11.105

Review 7.  Overview of Noninterpretive Artificial Intelligence Models for Safety, Quality, Workflow, and Education Applications in Radiology Practice.

Authors:  Yasasvi Tadavarthi; Valeria Makeeva; William Wagstaff; Henry Zhan; Anna Podlasek; Neil Bhatia; Marta Heilbrun; Elizabeth Krupinski; Nabile Safdar; Imon Banerjee; Judy Gichoya; Hari Trivedi
Journal:  Radiol Artif Intell       Date:  2022-02-02

Review 8.  Neuroimaging Wisely.

Authors:  J Buethe; J Nazarian; K Kalisz; M Wintermark
Journal:  AJNR Am J Neuroradiol       Date:  2016-06-09       Impact factor: 3.825

Review 9.  Factors associated with imaging overuse in the emergency department: A systematic review.

Authors:  Monica Tung; Ritu Sharma; Jeremiah S Hinson; Stephanie Nothelle; Jean Pannikottu; Jodi B Segal
Journal:  Am J Emerg Med       Date:  2017-10-25       Impact factor: 2.469

10.  Increased Computed Tomography Utilization in the Emergency Department and Its Association with Hospital Admission.

Authors:  M Fernanda Bellolio; Herbert C Heien; Lindsey R Sangaralingham; Molly M Jeffery; Ronna L Campbell; Daniel Cabrera; Nilay D Shah; Erik P Hess
Journal:  West J Emerg Med       Date:  2017-07-19
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