Latest on Healthcare
- Type
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Columbia Business
- Date
Artificial Intelligence in Healthcare: Insights from Columbia Business School Professor Carrie Chan
When the System Is the Patient: AI in Health Care
- Date
Leadership Lessons from Gilead Sciences CEO Daniel O’Day
Health Care: The Winning Closing Argument in a Tight Election
Harnessing the Power of AI, Data — and People: Three Insights From GSK CEO Emma Walmsley
- Date
Navigating AI’s Role in the Future of Healthcare
New Study: Public Options Can Drastically Lower Healthcare Costs Due to Government Bargaining Power
Faculty
CBS Faculty Research on Healthcare
Identifying Factors Predicting Kidney Graft Survival in Chile Using Elastic-Net-Regularized Cox Regression
- Authors
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Marcelo Olivares, L. Magga, S Maturana, M. Valdevenito, J. Cabezas, J. Chapochnick, F. González, A. Kompatzki, H. Muller, J. Pefaur, C. Ulloa, and R. Valjalo
- Date
- September 6, 2022
- Format
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Journal Article
- Journal
- Medicina
We developed a predictive statistical model to identify donor–recipient characteristics related to kidney graft survival in the Chilean population. Given the large number of potential predictors relative to the sample size, we implemented an automated variable selection mechanism that could be revised in future studies as more national data is collected. Materials and Methods: A retrospective multicenter study was conducted to analyze data from 822 adult kidney transplant recipients from adult donors between 1998 and 2018.
Utilizing Partial Flexibility to Improve Emergency Department Flow: Theory and Implementation
- Authors
- Date
- August 5, 2022
- Format
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Journal Article
- Journal
- Naval Research Logistics
Emergency Departments (EDs) typically have multiple areas where patients of different acuity levels receive treatments. In practice, different areas often operate with fixed nurse staffing levels. When there are substantial imbalances in congestion among different areas, it could be beneficial to deviate from the original assignment and reassign nurses. However, reassignments typically are only feasible at the beginning of 8-12-hour shifts, providing partial flexibility in adjusting staffing levels.
Quantifying utilitarian outcomes to inform triage ethics: Simulated performance of a ventilator triage protocol under Sars-CoV-2 pandemic surge conditions
- Authors
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Elizabeth Chuang, Julien Grand-Clement, Jen-Ting Chen, Carri Chan, Vineet Goyal, and Michelle Ng Gong
- Date
- April 18, 2022
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Journal Article
- Journal
- AJOB Empirical Bioethics
Background
Equitable protocols to triage life-saving resources must be specified prior to shortages in order to promote transparency, trust and consistency. How well proposed utilitarian protocols perform to maximize lives saved is unknown. We aimed to estimate the survival rates that would be associated with implementation of the New York State 2015 guidelines for ventilator triage, and to compare them to a first-come-first-served triage method.
Methods
Service design to balance waiting time and infection risk: An application for elections during the COVID-19 pandemic
- Authors
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Marcelo Olivares, S. Mondschein, F. Ordonez, D. Schwartz, A. Weintraub, I. Torres-Ulloa, C Aguayo, and G. Canessa
- Date
- March 18, 2022
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Journal Article
- Journal
- Service Science
The COVID-19 pandemic has caused great disruption to the service sector, and it has, in turn, adapted by implementing measures that reduce physical contact among employees and users; examples include home-office work and the setting of occupancy restrictions at indoor locations.
The social divide of social distancing: Shelter-in-place behavior in Santiago during the COVID-19 pandemic
- Authors
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Marcelo Olivares, A. Carranza, M. Goic, E. Lara, G.Y. Weintraub, J. Covarrubia, C. Escobedo, N. Jara, and L.J. Basso
- Date
- January 1, 2022
- Format
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Journal Article
- Journal
- Management Science
Optimal Scheduling of Proactive Service with Customer Deterioration and Improvement
- Authors
- Date
- December 21, 2021
- Format
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Journal Article
- Journal
- Management Science
Service systems are typically limited resource environments where scarce capacity is reserved for the most urgent customers. However, there has been a growing interest in the use of proactive service when a less urgent customer may become urgent while waiting. On one hand, providing service for customers when they are less urgent could mean that fewer resources are needed to fulfill their service requirement. On the other hand, using limited capacity for customers who may never need the service in the future takes the capacity away from other more urgent customers who need it now.
Differences in Consumer-Benefiting Misconduct by Nonprofit, For-profit, and Public Organizations
- Authors
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Vanessa Burbano and J. Ostler
- Date
- October 1, 2021
- Format
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Journal Article
- Journal
- Organizational Behavior and Human Decision Processes
We examine how organizations of different types --public, non-profit and for-profit -- engage in consumer-benefiting misconduct (CBM) by examining which patients benefit from hospitals of the three types gaming the market for liver transplants. Consistent with our theory, we find that public firms are the least likely of the three organization types to engage in CBM.
Information Avoidance and Information Seeking Among Parents of Children with ASD
- Authors
- Date
- May 1, 2021
- Format
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Journal Article
- Journal
- American Journal on Intellectual and Developmental Disabilities
We estimated the effects of information avoidance and information seeking among parents of children diagnosed with ASD on age of diagnosis. An online survey was completed by 1,815 parents of children with ASD. Children of parents who self-reported that they had preferred "not to know," reported diagnoses around 3 months later than other children.
Dynamic Server Assignment in Multiclass Queues with Shifts, with Applications to Nurse Staffing in Emergency Departments
- Authors
- Date
- January 27, 2021
- Format
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Journal Article
- Journal
- Operations Research
Many service systems are staffed by workers who work in shifts. In this work, we study the dynamic assignment of servers to different areas of a service system at the beginning of discrete time-intervals, i.e., shifts. The ability to reassign servers at discrete intervals, rather than continuously, introduces a partial flexibility that provides an opportunity for reducing the expected waiting time of customers.