This event is part of Mathematics, Statistics, and Innovation in Medical and Health Care View Details

Predictive Analytics, Business Modeling and Optimization in Healthcare Operations Management

Description

Back to top

The advancement of statistical learning techniques and the growing availability of medical data stimulate the development of cutting-edge predictive models for various patient and population characteristics. This workshop will focus on predictive analytics and stochastic modeling for applications in healthcare operations management like among others, ER design and operation, hospital budgeting, nursing care availability, supplies procurement, services and planning, and other components of health care systems.

Organizers

Back to top
J D
Jing Dong Columbia University
P S
Pengyi Shi Purdue University

Speakers

Back to top
M A
Mor Armony New York University
T A
Turgay Ayer Georgia Tech
M B
Mohsen Bayati Stanford University
J B
John Birge Booth School of Business, University of Chicago
E B
Ebru Bish Virginia Tech
M B
Margret Bjarnadottir University of Maryland Robert H. Smith School of Business
T D
Tinglong Dai Johns Hopkins University
B D
Brian Denton University of Michigan
Y H
Yue Hu Columbia University
J J
Jonas Jonasson MIT
S M
Sanjay Mehrotra Northwestern University
J P
Jean Pauphilet London Business School
K R
Kamalini Ramdas London Business School
S S
Soroush Saghafian Harvard University
V S
Vahid Sarhangian University of Toronto
S S
Steven Shechter University of British Columbia
J S
John Silberholz University of Michigan
T T
Tolga Tezcan Rice University
H W
Holly Wiberg MIT
G Y
Galit Yom-Tov Technion – Israel Institute of Technology
C Z
Christos Zacharias University of Miami

Schedule

Back to top
Monday, May 1, 2023
9:00-9:45 CDT
Networking Session
9:45-10:30 CDT
Hospitalization versus Home Care: Balancing Mortality and Infection Risks

Speaker: Mor Armony (New York University)

10:30-11:00 CDT
Coffee Break
11:00-11:45 CDT
Patient trajectory modeling: Case studies of backpain and neonatal opioid withdrawal syndrome

Speaker: Margret Bjarnadottir (University of Maryland Robert H. Smith School of Business)

11:45-12:30 CDT
Structural Estimation of Kidney Transplant Candidates’ Quality of Life Scores

Speaker: Yue Hu (Columbia University)

12:30-14:00 CDT
Lunch
14:00-14:45 CDT
Robust Chance Constraint Optimization in Healthcare Operations

Speaker: Sanjay Mehrotra (Northwestern University)

14:45-15:30 CDT
TBA

Speaker: Vahid Sarhangian (University of Toronto)

15:30-16:00 CDT
Networking Session
Tuesday, May 2, 2023
9:00-9:45 CDT
TBA

Speaker: Kamalini Ramdas (London Business School)

9:45-10:30 CDT
Predictive and Prescriptive Models for Early Detection of Cancer

Speaker: Brian Denton (University of Michigan)

10:30-11:00 CDT
Coffee Break
11:00-11:45 CDT
Public Health Screening: Challenges and Opportunities

Speaker: Ebru Bish (University of Alabama, Tuscaloosa)

11:45-12:30 CDT
TBA

Speaker: Jonas Jonasson (Massachusetts Institute of Technology (MIT))

12:30-14:00 CDT
Lunch
14:00-14:45 CDT
Can capitation payment plans contain health care costs? Policy design and Patient Selection

Speaker: Tolga Tezcan (Rice University)

14:45-15:30 CDT
TBA

Speaker: Mohsen Bayati (Stanford University)

15:30-16:00 CDT
Networking Session
Wednesday, May 3, 2023
9:00-9:45 CDT
Estimating treatment effects from observational data with unobserved confounders

Speaker: John Birge (University of Chicago)

9:45-10:30 CDT
Purposeful Design for AI-Augmented Healthcare: Harnessing Physician-in-the-Loop Systems to Improve the Patient Journey

Speaker: Tinglong Dai (Johns Hopkins University)

10:30-11:00 CDT
Coffee Break
11:00-11:45 CDT
Calibrate to Operate: Turning Patient Predictions Into System-Wide Forecasts

Speaker: Jean Pauphilet (London Business School)

11:45-12:30 CDT
myED: predicting and announcing wait time in EDs and their impact on patient abandonment (LWBS)

Speaker: Galit Yom-Tov (Technion – Israel institute of technology)

12:30-14:00 CDT
Lunch
14:00-14:45 CDT
Mass Vaccination Scheduling: Trading off Infections, Throughput, and Overtime

Speaker: Steven Shechter (University of British Columbia)

14:45-15:30 CDT
Dynamic Interday and Intraday Scheduling

Speaker: Christos Zacharias (University of Miami)

15:30-16:30 CDT
Social Hour
Thursday, May 4, 2023
9:00-9:45 CDT
TBA

Speaker: Soroush Saghafian (Harvard University, Cambridge)

9:45-10:30 CDT
Small Area Estimation of Case Growths for Timely COVID-19 Outbreak Detection

Speaker: Turgay Ayer (Georgia Tech)

10:30-11:00 CDT
Coffee Break
11:00-11:45 CDT
TBA

Speaker: John Silberholz (University of Michigan)

11:45-12:30 CDT
TBA

Speaker: Holly Wilberg (Flatiron Health)


Registration

Back to top

IMSI is committed to making all of our programs and events inclusive and accessible. Contact to request accommodations.

In order to register for this workshop, you must have an IMSI account and be logged in. Please use one of the buttons below to login or create an account.