Nilay Tanık Argon

About

Nilay TANIK ARGON is a Professor of Statistics and Operations Research at the University of North Carolina at Chapel Hill. The page primarily lists her as a faculty member and details her supervision of PhD students, including their dissertation titles and co-advisors. However, it does not provide specific information about her research focus, background, or key contributions.

Research topics

• Computer Science
• Medicine
• Mathematics
• Internal medicine
• Medical emergency
• Nursing
• Operations research
• Intensive care medicine
• Business
• Economics

Selected publications

• The effects of emergency department crowding on triage and hospital admission decisions

  The American Journal of Emergency Medicine · 2019-06-25 · 65 citations

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• Dynamic Distribution of Patients to Medical Facilities in the Aftermath of a Disaster

  Operations Research · 2018-05-23 · 60 citations

  article

  In the aftermath of a disaster, emergency responders must transport a large number of patients to medical facilities, using limited transportation resources (such as ambulances). Decisions about where to send the patients are typically made in an ad hoc manner by responders on the scene. Using a Markov decision process formulation, we develop two heuristic policies that use limited information such as mean travel times and congestion levels to determine (a) how to allocate ambulances to patient…

  PublisherDOI

• Patient Triage and Prioritization Under Austere Conditions

  Management Science · 2017-10-16 · 58 citations

  article

  In war zones and economically deprived regions, because of extreme resource restrictions, a single provider may be the sole person in charge of providing emergency care to a group of patients. An important question the provider faces under such circumstances is whether or not to perform triage and how to prioritize the patients. By choosing to triage a particular patient, the provider can determine the health condition and thus the urgency of the patient, but that will come at the expense of del…

  PublisherDOI

• Forecasting emergency department hourly occupancy using time series analysis

  The American Journal of Emergency Medicine · 2021 · 46 citations

  PublisherDOI

• Allocation of Intensive Care Unit Beds in Periods of High Demand

  Operations Research · 2020 · 44 citations

  Intensive care unit (ICU) beds are valuable resources that are typically in short supply and therefore their effective and efficient use is essential particularly during periods when patient demand...

  PublisherDOI

Recent grants

• Collaborative Research: Distribution of Patients to Medical Facilities in Mass-Casualty Events

  NSF · $325k · 2016–2020

• Collaborative Research: Priority Dispatching of Patients in the Aftermath of a Mass-Casualty Event

  NSF · $360k · 2009–2013

• Collaborative Research: Patient Triage in the Aftermath of a Mass Casualty Event - A Dynamic Programming Approach

  NSF · $156k · 2006–2010

Frequent coauthors

• Serhan Ziya

  University of North Carolina at Chapel Hill

  28 shared

• Benjamin Linthicum

  University of North Carolina at Chapel Hill

  17 shared

• David Goldsman

  Georgia Institute of Technology

  13 shared

• T. Bohrmann

  10 shared

• Sigrún Andradóttir

  Georgia Institute of Technology

  9 shared

• Yufeng Liu

  9 shared

• Christopher S. Evans

  East Carolina University

  8 shared

• Christos Alexopoulos

  Georgia Institute of Technology

  8 shared

Labs

• Nilay Tanık Argon LabPI

Similar researchers at University of North Carolina at Chapel Hill

• Richard Smithh-105
• Yao Lih-93
• Andrew Nobelh-52