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What is Specialist Outpatient Clinic (SOC) operating hour

Impacts of Information Technology on Patient Care and Empowerment
8.30am to 6pm on Monday to Friday
Published in Chapter:
Use of Predictive and Simulation Models to Develop Strategies for Better Access Specialists Care
Siang Li Chua (Changi General Hospital, Singapore) and Wai Leng Chow (Changi General Hospital, Singapore)
Copyright: © 2020 |Pages: 28
DOI: 10.4018/978-1-7998-0047-7.ch007
Abstract
No-shows are patients who miss scheduled Specialist Outpatient Clinic (SOC) appointments. No-shows can impact patients' access to care and appointment lead time. This chapter describes a data-driven strategy of improving access to specialist care through first developing a stratified predictive scoring model to identify patients at risk of no-shows; second, studying the impact of a dynamic overbooking strategy that incorporates the use of the no-show prediction model using discrete event simulation (DES) on lead time. Seventeen variables related to new SOC appointments for subsidized patients in 2016 were analyzed. Multiple logistic regression (MLR) found eight variables independently associated with no-shows with area under receiver operation curve (AUC) 70%. The model was tested and validated. DES model simulated the appointment overbooking strategy as applied to the top highest volume specialties and concluded that lead time of Specialty 1 and 2 can be shortened by 27.5 days (49% improvement) and 21.3 (33%) respectively.
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