Literature DB >> 27448401

CT and MR Protocol Standardization Across a Large Health System: Providing a Consistent Radiologist, Patient, and Referring Provider Experience.

Peter B Sachs1, Kelly Hunt2, Fabien Mansoubi3, James Borgstede2.   

Abstract

Building and maintaining a comprehensive yet simple set of standardized protocols for a cross-sectional image can be a daunting task. A single department may have difficulty preventing "protocol creep," which almost inevitably occurs when an organized "playbook" of protocols does not exist and individual radiologists and technologists alter protocols at will and on a case-by-case basis. When multiple departments or groups function in a large health system, the lack of uniformity of protocols can increase exponentially. In 2012, the University of Colorado Hospital formed a large health system (UCHealth) and became a 5-hospital provider network. CT and MR imaging studies are conducted at multiple locations by different radiology groups. To facilitate consistency in ordering, acquisition, and appearance of a given study, regardless of location, we minimized the number of protocols across all scanners and sites of practice with a clinical indication-driven protocol selection and standardization process. Here we review the steps utilized to perform this process improvement task and insure its stability over time. Actions included creation of a standardized protocol template, which allowed for changes in electronic storage and management of protocols, designing a change request form, and formation of a governance structure. We utilized rapid improvement events (1 day for CT, 2 days for MR) and reduced 248 CT protocols into 97 standardized protocols and 168 MR protocols to 66. Additional steps are underway to further standardize output and reporting of imaging interpretation. This will result in an improved, consistent radiologist, patient, and provider experience across the system.

Entities:  

Keywords:  Clinical workflow; Radiology workflow; Workflow re-engineering

Mesh:

Year:  2017        PMID: 27448401      PMCID: PMC5267593          DOI: 10.1007/s10278-016-9895-8

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  7 in total

1.  A Wiki Based CT Protocol Management System.

Authors:  Timothy P Szczykutowicz; Nicholas Rubert; Daryn Belden; Amanda Ciano; Andrew Duplissis; Ashley Hermanns; Stephen Monette; Elliott Janssen Saldivar
Journal:  Radiol Manage       Date:  2015 Nov-Dec

2.  On the same page--physicist and radiologist perspectives on protocol management and review.

Authors:  Timothy P Szczykutowicz; Jenifer Siegelman
Journal:  J Am Coll Radiol       Date:  2015-06-09       Impact factor: 5.532

3.  Data-driven CT protocol review and management—experience from a large academic hospital.

Authors:  Da Zhang; Cristy A Savage; Xinhua Li; Bob Liu
Journal:  J Am Coll Radiol       Date:  2015-01-07       Impact factor: 5.532

Review 4.  CT protocol review and optimization.

Authors:  James M Kofler; Dianna D Cody; Richard L Morin
Journal:  J Am Coll Radiol       Date:  2014-03       Impact factor: 5.532

5.  Standardization and optimization of CT protocols to achieve low dose.

Authors:  Sigal Trattner; Gregory D N Pearson; Cynthia Chin; Dianna D Cody; Rajiv Gupta; Christopher P Hess; Mannudeep K Kalra; James M Kofler; Mayil S Krishnam; Andrew J Einstein
Journal:  J Am Coll Radiol       Date:  2014-03       Impact factor: 5.532

6.  Compliance with AAPM Practice Guideline 1.a: CT Protocol Management and Review - from the perspective of a university hospital.

Authors:  Timothy P Szczykutowicz; Robert K Bour; Myron Pozniak; Frank N Ranallo
Journal:  J Appl Clin Med Phys       Date:  2015-03-08       Impact factor: 2.102

7.  CT protocol management: simplifying the process by using a master protocol concept.

Authors:  Timothy P Szczykutowicz; Robert K Bour; Nicholas Rubert; Gary Wendt; Myron Pozniak; Frank N Ranallo
Journal:  J Appl Clin Med Phys       Date:  2015-07-08       Impact factor: 2.102

  7 in total
  6 in total

1.  Implementing Shared, Standardized Imaging Protocols to Improve Cross-Enterprise Workflow and Quality.

Authors:  Viswanathan Venkataraman; Travis Browning; Ivan Pedrosa; Suhny Abbara; David Fetzer; Seth Toomay; Ronald M Peshock
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

2.  An Image Quality-informed Framework for CT Characterization.

Authors:  Rebecca Smith-Bindman; Sophronia Yu; Yifei Wang; Marc D Kohli; Philip Chu; Robert Chung; Jason Luong; Denise Bos; Carly Stewart; Biraj Bista; Alejandro Alejandrez Cisneros; Bradley Delman; Andrew J Einstein; Michael Flynn; Patrick Romano; J Anthony Seibert; Antonio C Westphalen; Andrew Bindman
Journal:  Radiology       Date:  2021-11-09       Impact factor: 11.105

Review 3.  Automated Protocoling for MRI Exams-Challenges and Solutions.

Authors:  Jonas Denck; Oliver Haas; Jens Guehring; Andreas Maier; Eva Rothgang
Journal:  J Digit Imaging       Date:  2022-08-30       Impact factor: 4.903

4.  Strategies for Dose Optimization: Views From Health Care Systems.

Authors:  Robin R Whitebird; Leif I Solberg; Philip W Chu; Rebecca Smith-Bindman
Journal:  J Am Coll Radiol       Date:  2022-02-25       Impact factor: 6.240

5.  MR-contrast-aware image-to-image translations with generative adversarial networks.

Authors:  Jonas Denck; Jens Guehring; Andreas Maier; Eva Rothgang
Journal:  Int J Comput Assist Radiol Surg       Date:  2021-06-20       Impact factor: 2.924

6.  Utilization of a cloud-based radiology analytics platform to monitor imaging volumes at a large tertiary center.

Authors:  Stanley Chu; Mitchell Collins; Maurice Pradella; Martin Kramer; Rachel Davids; Mathis Zimmerman; Sarah Fopma; Alexander Korutz; Blair Faber; Ryan Avery; James Carr; Bradley D Allen; Michael Markl
Journal:  Eur J Radiol Open       Date:  2022-10-05
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.