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X-WR-CALNAME:IORA - Institute of Operations Research and Analytics
X-ORIGINAL-URL:https://iora.nus.edu.sg
X-WR-CALDESC:Events for IORA - Institute of Operations Research and Analytics
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TZID:Asia/Singapore
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20240405T100000
DTEND;TZID=Asia/Singapore:20240405T110000
DTSTAMP:20260420T004116
CREATED:20240401T015600Z
LAST-MODIFIED:20240401T015649Z
UID:22117-1712311200-1712314800@iora.nus.edu.sg
SUMMARY:DAO-IORA Seminar Series - Wang Guihua
DESCRIPTION:  \n\n\n\nName of Speaker\nWang Guihua\n\n\nSchedule\n5 April 2024\, 10am – 11am\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/tZ0ucOmorj8sEtZEDn8rf411mXUZJEvpgeaO\n\n\nTitle\nThe Spillover Effect of Suspending Non-essential Surgery: Evidence from Kidney Transplantation\n\n\nAbstract\nOrgan transplantation is a life-saving procedure for patients with end-stage organ disease; delaying transplantation can have life-or-death consequences. Between March and April 2020\, in the midst of the COVID-19 pandemic\, multiple state governors issued orders to temporarily suspend non-essential surgery. Although such suspensions were not intended for essential surgery (e.g.\, deceased-donor kidney transplants)\, the literature on service operations management suggests that these suspensions may have either a positive or a negative spillover effect on essential surgery\, depending on whether hospitals maintain or reduce resources in response to such suspensions. Motivated by this dichotomy\, we estimate the potential spillover effect of suspending nonessential surgery on deceased-donor kidney transplantation. Through analyzing a dataset of all U.S. kidney transplant procedures\, we observe a steep decline in the transplant volume in almost all states during the early months of the pandemic. However\, states that suspended nonessential surgery experienced steeper declines than those that did not. Using a difference-in-differences approach\, we estimate a state-level suspension of non-essential surgery led to a 23.6% reduction in transplant volume. This negative spillover effect is particularly pronounced for low-efficiency transplant centers with long cold ischemia times (CITs)\, but less so for high-efficiency centers. Our mediation analysis shows 38.7% of the spillover effect can be attributed to the change in healthcare employment. Our study suggests that in the event of a future public health crisis\, policymakers should consider more nuanced approaches to securing the healthcare workforce critical to supporting essential services\, especially for transplant centers with long CITs.\n\n\nAbout the Speaker\nGuihua is an Assistant Professor of Operations Management and a Sydney Smith Hicks Faculty Fellow at the Naveen Jindal School of Management\, The University of Texas at Dallas. He obtained his PhD from the University of Michigan\, MSc from the Georgia Institute of Technology\, MSc and BEng from the National University of Singapore. Prior to his PhD study\, Guihua worked as a supervisor of the industrial engineering department at UPS Asia headquartered in Singapore.  Guihua’s research focuses on the intersection of empirical econometrics and machine learning with application to personalized healthcare. More specifically\, Guihua has developed new empirical machine learning techniques such as instrumental variable forest and first-difference causal tree for heterogeneous treatment effect analysis using observational healthcare data. Guihua’s research has been published at Management Science\, Manufacturing & Service Operations Management\, Production and Operations Management\, Advances in Applied Probability\, Surgery\, and Annals of Thoracic Surgery\, and received media coverage by Associate Press\, Crain’s Detroit\, Houston Chronicle\, Medical Xpress\, National Interest\, NPR\, PRI\, Science Daily\, Simply Flying\, The Conversation\, and Yahoo! News. His research was named a finalist of both the Pierskalla Best Paper Award and the MSOM Service Management SIG Best Paper Award\, a runner-up of both the Financial Times Responsible Business Education Award and the INFORMS Service Science Best Cluster Paper Award\, the winner of the INFORMS Health Applications Society Student Paper Competition\, two-time finalists of the MSOM Student Paper Competition\, and a finalist of the INFORMS Service Section Best Student Paper Competition.\n\n\n\n 
URL:https://iora.nus.edu.sg/events/dao-iora-seminar-series-wang-guihua/
CATEGORIES:IORA Seminar Series
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BEGIN:VEVENT
DTSTART;TZID=Asia/Singapore:20240412T100000
DTEND;TZID=Asia/Singapore:20240412T113000
DTSTAMP:20260420T004116
CREATED:20240403T063341Z
LAST-MODIFIED:20240403T063341Z
UID:22241-1712916000-1712921400@iora.nus.edu.sg
SUMMARY:DAO-IORA Seminar Series - Michael Freeman
DESCRIPTION:Name of Speaker\nMichael Freeman\n\n\nSchedule\n12 April 2024\, 10am – 11.30am\n\n\nVenue \nHon Sui Sen Memorial Library HSS 3-1\n\n\nLink to Register\nhttps://nus-sg.zoom.us/meeting/register/tZIofu-hqTosGdL3UD4H6gyub6ROFYIUrSpf\n\n\nTitle\nFrom full-time to flexi: Investigating the impact of workforce shifts in primary care on service provision and quality\n\n\nAbstract\nPrimary care practices worldwide are experiencing a shift away from traditional full-time roles toward increased part-time and temporary staffing models. This transformation necessitates understanding the implications for primary healthcare delivery. Our paper provides an empirical analysis examining the evolving work patterns and schedules of general practitioners (GPs) in the UK over the past decade. Using primary care records\, we first examine how GP work volume impacts healthcare service utilization and patient outcomes. We also explore factors that may mediate this relationship. Going further\, given the seeming inevitability of more flexible staffing models\, our investigation also aims to inform effective workforce strategies that optimise healthcare delivery. Specifically\, we examine scheduling approaches that may allow primary care practices to adapt to part-time and locum GPs. Our findings aim to inform healthcare leaders seeking to adapt to emerging flexible staffing models while maintaining high-quality and accessible primary care.\n\n\nAbout the Speaker\nMichael Freeman is an Assistant Professor of Technology and Operations Management at INSEAD. His research focuses on healthcare operations\, leveraging large empirical datasets and rigorous analysis to uncover actionable insights that inform practices to enhance healthcare delivery. This work centers on two key themes – improving patient routing and care continuity and assessing the impacts of organisational changes and predictive technologies on healthcare productivity and quality. He has published several papers in Management Science and M&SOM\, and his research has also been recognized with various awards\, including winning the 2016 MSOM Student Paper Competition. His research has also earned attention from media outlets (BBC\, The Guardian\, and others) and healthcare leaders\, including the UK’s Royal College of Emergency Medicine and College of General Practitioners. Alongside research\, Michael is an award-winning teacher at INSEAD\, where he directs and teaches in executive education\, the EMBA\, MBA\, and PhD programmes.
URL:https://iora.nus.edu.sg/events/dao-iora-seminar-series-michael-freeman/
CATEGORIES:IORA Seminar Series
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