Data-driven surgical duration prediction model for surgery scheduling: A case-study for a practice-feasible model in a public hospital

• Main Authors: TAN, Kar Way, NGUYEN, Francis Ngoc Hoang Long, ANG, Boon Yew, GAN, Jerald, LAM, Sean Shao Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: Healthcare analytics; surgical duration prediction; tree-based model; Computer Sciences; Health and Medical Administration; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/4688; https://ink.library.smu.edu.sg/context/sis_research/article/5691/viewcontent/CASE19_0466_FINAL.pdf
• Institution: Singapore Management University

Hospitals have been trying to improve the utilization of operating rooms as it affects patient satisfaction, surgery throughput, revenues and costs. Surgical prediction model which uses post-surgery data often requires high-dimensional data and contains key predictors such as surgical team factors w...