Literature DB >> 25467726

Creating an outpatient center of excellence in CT.

Jason N Itri1, Eric Bakow2, Jordan Woods3.   

Abstract

CT examinations represent a substantial portion of the workload for many radiology departments, and optimizing service delivery is a critical function to ensure customer satisfaction. This article describes how the Six Sigma methodology was used in the radiology department at a large academic hospital to improve the patient experience and increase CT capacity while reducing waste and improving staff satisfaction. The 5 distinct phases of Six Sigma are reviewed as they apply to our CT Center of Excellence project: define, measure, analyze, improve, and control. Process metrics used in this project include the percentage of outpatient CT exams started within 5 minutes of the scheduled appointment time, and the number of studies with protocols selected >48 hours before the CT exam is performed. Outcome metrics include monthly department expense per scan and CT Press Ganey "standard test and treatment" mean scores. An approach to developing interventions is described based on identifying critical sources of variation, ranking these by creating risk prioritization numbers, performing root cause analysis, and utilizing the failure mode and effects analysis tool to prioritize possible solutions. Finally, the key features of action plans and a control plan are reviewed.
Copyright © 2014 American College of Radiology. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Six sigma; outpatient imaging; patient satisfaction; practice quality improvement

Mesh:

Year:  2014        PMID: 25467726     DOI: 10.1016/j.jacr.2014.08.032

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


  2 in total

Review 1.  Conceptualising centres of excellence: a scoping review of global evidence.

Authors:  Tsegahun Manyazewal; Yimtubezinash Woldeamanuel; Claire Oppenheim; Asrat Hailu; Mirutse Giday; Girmay Medhin; Anteneh Belete; Getnet Yimer; Asha Collins; Eyasu Makonnen; Abebaw Fekadu
Journal:  BMJ Open       Date:  2022-02-07       Impact factor: 2.692

2.  Patient Race and Provider Predict Patient Satisfaction Following Post-Mastectomy Breast Reconstruction.

Authors:  Ashkaun Shaterian; Jessica Gandy; Shadi Lalezari; Sarah Smith; Keyianoosh Paydar
Journal:  World J Plast Surg       Date:  2016-05
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.