Predictive Analytics for Outpatient Appointments

• Main Authors: MA, Nang Laik, SEEMANTA, Khataniar, WU, Dan, NG, Serene Seng Ying
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2014
• Subjects: analytics; predictive model; appointment process; business process improvement; “no shows”; MITB student; Computer Sciences; Health and Medical Administration; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/2446; https://ink.library.smu.edu.sg/context/sis_research/article/3446/viewcontent/PredictiveAnalyticsOutpatient_2014.pdf
• Institution: Singapore Management University

Healthcare is a very important industry where analytics has been applied successfully to generate insights about patients, identify bottleneck and to improve the business efficiency. In this paper, we aim to look at the patient appointment process as the hospital is experiencing high volume of ?no s...