Applying Lean Six Sigma to Reduce the Incidence of Unplanned Surgery Cancellation at a Large Comprehensive Tertiary Hospital in China. (September 2020)

• Record Type: Journal Article
• Authors: Zhu, Ling-Feng; Qian, Wei-Yang; Zhou, Gang; Yang, Min; Lin, Jing-Jing; Jin, Jing-Ling; Dong, Shu-Jing; Zhu, Lin-Hong; Chen, Hai-Xiao
• Is Part Of: Inquiry. Volume 57(2020)
• Publication Date: 2020-09
• Subjects: healthcare -- unplanned surgery cancellation -- Lean Six Sigma -- quality improvement; Medical policy -- United States -- Periodicals; Medical care, Cost of -- United States -- Periodicals; Hospitalization insurance -- United States -- Periodicals; 362.10973
• DOI: 10.1177/0046958020953997
• Languages: English
• ISSNs: 0046-9580

Abstract

Unplanned surgery cancellation (USC) was an important quality management issue in the course of medical care for surgical patients, which caused inappropriate use of hospital resources and had negative impacts on quality and safety. This study used Lean Six Sigma to reduce the incidence of USC. Following the Lean Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process, the main factors influencing the USC were identified, such as the time of informing patient admission, the time of submitting operation notice, and the management of test report follow-up. A series of measures were implemented including improving the health education content of virtual bed patients, standardizing the way of communication between the Admission Management Center and the patients, improving the timing of anesthesia evaluation, optimizing the process of operation notice with an information system, and implementing the regulations of virtual bed management. The incidence of USC reduced from 10.21% in Jan. 2016 to 3.8% in Dec. 2016, and the Z -score increased from 1.25 to 1.68, which improved patient safety and demonstrated that Lean Six Sigma was an effective method to solve cross-department issues in hospital.