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INFORMS Nashville – 2016

50

4 - Applications Of Real Time Locating Systems In

Ambulatory Oncology

Sarah Kadish, Dana-Farber Cancer Instititue, Boston, MA, United

States,

sarah_kadish@dfci.harvard.edu

, Constance Barysauskas,

Ryan Leib, Avishai Mandelbaum, Petar Momcilovic,

Arik Senderovich, Nikolaos Trichakis, Craig Bunnell

Real Time Locating Systems (RTLS) implementations have increased in the

healthcare industry despite few studies supporting efficacy. In addition, the

potential applications of RTLS as a tool for improving hospital operations

management remains relatively unexplored. We sought to measure the

improvement in quality of care and patient experience immediately after RTLS

implementation. Furthermore, we explored the utility of RTLS in providing

unbiased data to improve accuracy for chemotherapy scheduling. Finally, we

demonstrate the ability for RTLS to assess impacts of large organizational changes

such as the implementation of an Electronic Health Record on patient time in

clinic.

SB22

107B-MCC

Panel: Challenges of Implementing OR in the

Healthcare Industry

Invited: ORinformed Healthcare Policies

Invited Session

Moderator: Michael W Carter, University of Toronto, Toronto, ON,

Canada,

carter@mie.utoronto.ca

Implementing OR/MS in healthcare poses major challengers to practical

researchers. The problems and the corresponding solutions are similar to those in

industry and other service industries. So why is it so difficult? This panel brings

together a group of researchers who have been successful in overcoming the

challenges.

1 - The Challenge Of Lean; Working With Health Professionals Who

Think O.R. Means Operating Room

Panelist: Martin L Puterman, University of British Columbia,

martin.puterman@sauder.ubc.ca

2 - Developing Good Collaborations And Avoiding Bad Ones

Panelist: Brian T Denton, University Of Michigan,

btdenton@umich.edu

3 - The Good, The Bad, And The Ugly Of Publishing Operations

Research Work In Medical Journals

Panelist: Sheldon H Jacobson, University Of Illinois,

shj@illinois.edu

4 - Struggles In Getting Data For Healthcare Research

Panelist: Amy Cohn, University Of Michigan,

amycohn@umich.edu

5 - Moving The Needle In Public Health Decision Making

Panelist: Margaret L Brandeau, Stanford University,

brandeau@stanford.edu

SB23

108-MCC

Joint Session MIF/HAS: Modeling and Optimization

for Advanced Stage Liver and Kidney

Disease Patients

Sponsored: Health Applications

Sponsored Session

Chair: Anahita Khojandi, University of Tennessee Knoxville,

521 John D. Tickle Building, 851 Neyland Drive, Knoxville, TN, 37996,

United States,

khojandi@utk.edu

Co-Chair: Murat Kurt, Merck Research Labs, 351 N. Sumneytown Pike,

North Wales, PA, 19454, United States,

murat.kurt7@gmail.com

1 - Optimal Liver Cancer Surveillance In Hepatitis C

Infected Population

Qiushi Chen, Georgia Institute of Technology, Atlanta, GA,

United States,

chenqiushi0812@gatech.edu

, Turgay Ayer,

Jagpreet Chhatwal

Liver cancer is the fastest growing cause of cancer deaths in the United States.

Although early diagnosis through can improve survival, the optimal surveillance

policy remains unknown. We develop a mixed-integer programming-based

framework to identify the most cost-effective surveillance policy. Our framework

allows a formulation of practical policy structures. Our numerical results find that

(1) the optimal surveillance interval should depend on patient’s stage of hepatitis

C and age, and (2) expanding surveillance to earlier stage of hepatitis C improves

the cost-effectiveness of HCC surveillance.

2 - The Changing Etiology Of End Stage Liver Disease And The

Implicationsfor The Liver Transplant Waitlist

Maria Mayorga, North Carolina State University,

memayorg@ncsu.edu

Zinan Yu, Stephanie B Wheeler

Changes in the epidemiology of end stage liver disease will impact future liver

transplant (LT) waitlist. We performed a discrete event simulation model to

forecast both regional and national LT waitlist size, number of transplants, and

hazard of waitlist drop out, while considering patient arrivals, demographic and

clinical attributes, waiting time and liver availability.

3 - Investigating Steroid Withdrawal Strategies For Kidney

Transplant Recipients

Yann B. Ferrand, Clemson University, Clemson, SC, United States,

yferran@clemson.edu

, Vibha Desai, Christina M. Kelton,

Teresa M. Cavanaugh, Jaime Caro, Jens W. Goebel,

Pamela C. Heaton

We evaluate various steroid withdrawal strategies for kidney transplant recipients.

The goal is to minimize major complications resulting from these complex drug

regimens over the long term. We develop a model calibrated with an econometric

study of patient data from a national registry to simulate the long-term course of

these patients. We report on the frequency and timing of adverse events and

identify trade-offs in the steroid withdrawal strategies.

4 - Eliciting Patients’ Revealed Risk Perceptions Of Dialysis And

Death In Preemptive Living-donor Kidney Transplantation

Masoud Barah, University of Tennessee, Knoxville, TN,

United States,

mbarah@vols.utk.edu

, Anahita Khojandi,

Murat Kurt

When kidneys can no longer function at the level needed, patients must undergo

either dialysis or transplantation to survive. Given empirical patterns in timing of

pre-dialysis living donor transplantation, we investigate the behavioral dynamics

behind patients’ risk-averse behavior. We develop an inverse MDP model to elicit

the perceived life-year loss associated with kidney failure or death due to delaying

transplantation. We calibrate the model using clinical literature and publicly

available datasets and provide insights on patients’ perceptions of kidney failure

and risk of death.

SB24

109-MCC

Ecology of Innovation: Sources of Knowledge

and Complements

Invited: Strategy Science

Invited Session

Chair: Daniel Levinthal, University of Pennsylvania, Wharton School,

Philadelphia, PA, 189, United States,

levinthal@wharton.upenn.edu

1 - Intra-firm Spillovers? The Stock And Flow Effects Of Collocation

Evan Rawley, Columbia Business School, New York, NY,

United States,

erawley@columbia.edu,

Robert Seamans

We study how intra-firm collocation—geographic clustering of establishments

owned by the same parent company—influences performance, decomposing

collocation effects to learn about the mechanisms behind intra-firm

agglomeration. Using Census micro data on the population of U.S. hotels and

restaurants 1977-2007, we find that doubling the intensity of intra-firm

collocation is associated with a productivity increase of about 2%. Further

analyses reveal that a significant component of the productivity gains persist after

an establishment ceases to be collocated, suggesting that proximity to other

establishments owned by the same parent firm facilitates the transfer of

knowledge.

SB22