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Research Collection Lee Kong Chian School Of Business
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Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou
Dynamic Scheduling With Uncertain Job Types, Zuo-Jun Max Shen, Jingui Xie, Zhichao Zheng, Han Zhou
Research Collection Lee Kong Chian School Of Business
Uncertain job types can arise as a result of predictive or diagnostic inaccuracy in healthcare or repair service systems and unknown preferences in matching service systems. In this paper, we study systems with multiple types of jobs, in which type information is imperfect and will be updated dynamically. Each job has a prior probability of belonging to a certain type which may be predicted by data, models, or experts. A job can only be processed by the right machine, and a job assigned to the wrong machine must be rescheduled. More information is learned from the mismatch, and job type …
Behavioral Factors Associated With Patients' Non-Attendance: A Retrospective Study In An Outpatient Specialty Clinic At A Women's And Children's Hospital In Singapore, Yue Tang, Houyuan Jiang, Zhichao Zheng, Zhichao Zheng, Chui Yee Loke, Bee Keow Goh
Behavioral Factors Associated With Patients' Non-Attendance: A Retrospective Study In An Outpatient Specialty Clinic At A Women's And Children's Hospital In Singapore, Yue Tang, Houyuan Jiang, Zhichao Zheng, Zhichao Zheng, Chui Yee Loke, Bee Keow Goh
Research Collection Lee Kong Chian School Of Business
Background: This study aimed to identify behavioral factors that affect patient attendance in outpatient clinics, especially those related to rescheduling.Methods: A retrospective study was conducted on 20,386 appointment records for 6,252 patients in an outpatient specialty clinic at a women’s and children’s hospital in Singapore over 34 months (January 2012–October 2014). Multivariate logistic regression was used to analyze the influence of independent variables on appointment no-shows.Results: The average no-show rate of the study population was 28.87%. Patient historical behaviors were significantly associated with appointment attendance. In particular, a larger number of previous visits, more historical no-shows, more historical rescheduling events …