@inproceedings{439708e94b0447f2b97b37cedfe78501,
title = "Improve operating rooms performance using lean and statistical methods: A case study",
abstract = "This paper presents a case study of implementing lean principles and statistical analysis to improve operating rooms (ORs) performance measures, i.e., block utilization and turnover time. Eight-step problem solving process was applied to identify wastes and their associated root causes and recommend solutions to improve the OR performance. The study was carried out at a tertiary hospital in Pennsylvania. The analysis has identified the main reasons of delays that impact performance, i.e., waiting in OR after surgery due to bed unavailability, delays in preoperative process due to IV insertion difficulty and unavailable beds, and scheduling problems such as late first case starts and unrealistic surgery schedules. Countermeasures were developed. Reevaluating the current scheduling practice and developing a scheduling tool are believed to be the best countermeasures in terms of ease of implementation and impact.",
author = "Omar Ashour and Faisal Aqlan and Anne Pedersen and Rachael Knox and Nicholas Bowers",
year = "2017",
language = "English (US)",
series = "67th Annual Conference and Expo of the Institute of Industrial Engineers 2017",
publisher = "Institute of Industrial Engineers",
pages = "61--66",
editor = "Nembhard, {Harriet B.} and Katie Coperich and Elizabeth Cudney",
booktitle = "67th Annual Conference and Expo of the Institute of Industrial Engineers 2017",
address = "United States",
note = "67th Annual Conference and Expo of the Institute of Industrial Engineers 2017 ; Conference date: 20-05-2017 Through 23-05-2017",
}