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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.caImplementing 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.ca2 - Developing Good Collaborations And Avoiding Bad Ones
Panelist: Brian T Denton, University Of Michigan,
btdenton@umich.edu3 - The Good, The Bad, And The Ugly Of Publishing Operations
Research Work In Medical Journals
Panelist: Sheldon H Jacobson, University Of Illinois,
shj@illinois.edu4 - Struggles In Getting Data For Healthcare Research
Panelist: Amy Cohn, University Of Michigan,
amycohn@umich.edu5 - Moving The Needle In Public Health Decision Making
Panelist: Margaret L Brandeau, Stanford University,
brandeau@stanford.eduSB23
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.eduCo-Chair: Murat Kurt, Merck Research Labs, 351 N. Sumneytown Pike,
North Wales, PA, 19454, United States,
murat.kurt7@gmail.com1 - 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.eduZinan 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.edu1 - 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