Practice policy and quality initiatives: using lean principles to improve screening mammography workflow. Radiographics 2013;33(5):1505-17
Date
07/03/2013Pubmed ID
23813321DOI
10.1148/rg.335135017Scopus ID
2-s2.0-84884360952 (requires institutional sign-in at Scopus site) 24 CitationsAbstract
The "lean" approach is a quality improvement method that focuses on maximizing activities that are valued by the customer and eliminating waste that impedes efficiency in the workplace. The unique philosophy of the lean approach encourages all members of the team to be directly involved in identifying areas of waste and generating solutions to eliminate them. When the breast imaging section at the authors' institution became part of a multispecialty breast care center, the result was escalating examination volumes, more complex cases, and overall increased demand on radiologists' time. After several unsuccessful attempts to improve the efficiency of the section, including evaluation by outside consultants, the decision was made to embark on a comprehensive quality improvement program using the lean approach. A team of radiologists, technologists, file room personnel, information technology (IT) representatives, and administrators from the breast imaging section met twice a month to learn about lean principles and how to apply them to screening mammography workflows. Sources of inefficiency (waste) were identified, and potential solutions were generated. Multiple trials were performed to test these solutions. Throughout the process, all team members were engaged in identifying the problems, suggesting solutions, and implementing change. Most of the tested solutions were successful and resulted in decreased patient wait times, improved efficiency for the technologists and radiologists, faster report turnaround, and advances in IT. In addition, staff members were introduced to the lean philosophy and became actively involved in improving their workplace, resulting in a more cohesive section.
Author List
Shah CJ, Sullivan JR, Gonyo MB, Wadhwa A, DuBois MSAuthors
Melissa S. DuBois MD Associate Professor in the Radiology department at Medical College of WisconsinMary Beth Gonyo MD Associate Professor in the Radiology department at Medical College of Wisconsin
Julie R. Sullivan MD Associate Professor in the Radiology department at Medical College of Wisconsin
MESH terms used to index this publication - Major topics in bold
AlgorithmsEarly Detection of Cancer
Mammography
Models, Organizational
Organizational Objectives
Organizational Policy
Radiology Department, Hospital
Wisconsin
Workflow
