Data-driven decision-support for process improvement through predictions of bed occupancy rates

• Main Authors: TAN, Kar Way, NG, Qi You, NGUYEN, Francis Ngoc Hoang Long, LAM, Sean Shao Wei
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2019
• Subjects: process improvement; predictive analytics; heterogeneous data; Computer Sciences; Data Science; Health and Medical Administration
• Online Access: https://ink.library.smu.edu.sg/sis_research/4684; https://ink.library.smu.edu.sg/context/sis_research/article/5687/viewcontent/CASE19_0131_FINAL.pdf
• Institution: Singapore Management University

Managing bed utilization and ensuring the supply keeps up with the demand is not an easy task in a large public hospital with many medical disciplines. The bed managers who makes decisions on reserving and allocating beds centrally require high-dimensional data from several hospital information syst...