Nathan R. Hoot
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Nathan R. Hoot has a total of 25 co-authors. Here are the top co-authors by number of shared publications:
Dominik Aronsky
Vanderbilt University Medical Center, Nashville, TN
6 shared publicationsChuan Zhou
Vanderbilt University Medical Center, Nashville, TN
4 shared publicationsIan Jones
Vanderbilt University Medical Center, Nashville, TN
4 shared publicationsLarry J. LeBlanc
Owen Graduate School of Management, Nashville, TN
3 shared publicationsScott R. Levin
Johns Hopkins University School of Medicine, Baltimore, MD
3 shared publicationsCynthia S. Gadd
Vanderbilt University Medical Center, Nashville, TN
2 shared publications
Latest Publications
- 21 March 2017
- Published by Cambridge University Press (CUP)
- p. 201-208
Streamlining Patient Flow in the Emergency Department with Discrete Event Simulation
- 21 March 2017
- Published by Cambridge University Press (CUP)
- p. 201-208
Streamlining Patient Flow in the Emergency Department with Discrete Event Simulation
- 31 August 2009
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 54 (4) , 514-522.e19
Forecasting Emergency Department Crowding: An External, Multicenter Evaluation
- 31 August 2009
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 54 (4) , 514-522.e19
Forecasting Emergency Department Crowding: An External, Multicenter Evaluation
- Open Access
- 1 May 2009
- Published by Oxford University Press (OUP) in Journal of the American Medical Informatics Association
- Vol. 16 (3) , 338-345
Forecasting Emergency Department Crowding: A Prospective, Real-time Evaluation
Objective: Emergency department crowding threatens quality and access to health care, and a method of accurately forecasting near-future crowding sho
- 1 May 2009
- Published by Oxford University Press (OUP) in Journal of the American Medical Informatics Association
- Vol. 16 (3) , 338-345
Open AccessForecasting Emergency Department Crowding: A Prospective, Real-time Evaluation
Objective: Emergency department crowding threatens quality and access to health care, and a method of accurately forecasting near-future crowding sho
- Top Cited Papers
- 1 August 2008
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 52 (2) , 126-136.e1
Systematic Review of Emergency Department Crowding: Causes, Effects, and Solutions
- 1 August 2008
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 52 (2) , 126-136.e1
Top Cited PapersSystematic Review of Emergency Department Crowding: Causes, Effects, and Solutions
- 3 April 2008
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 52 (2) , 116-125
Forecasting Emergency Department Crowding: A Discrete Event Simulation
- 3 April 2008
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 52 (2) , 116-125
Forecasting Emergency Department Crowding: A Discrete Event Simulation
Physician predictions of graft survival following liver transplantation
A number of decisions in liver transplantation rely on estimates of post-transplant outcomes, such as graft and patient survival. To determine the best treatment for patients with end-stage liver disease, the chance of post-transplant survival must be weighed against the likely outcomes of treatment alternatives, such as hepatic resection or medical management. When a patient undergoes a transplant evaluation, the decision to list the patient depends in part on the likelihood of transplant success, with the intent of avoiding transplants that are likely to fail.
Physician predictions of graft survival following liver transplantation
A number of decisions in liver transplantation rely on estimates of post-transplant outcomes, such as graft and patient survival. To determine the best treatment for patients with end-stage liver disease, the chance of post-transplant survival must be weighed against the likely outcomes of treatment alternatives, such as hepatic resection or medical management. When a patient undergoes a transplant evaluation, the decision to list the patient depends in part on the likelihood of transplant success, with the intent of avoiding transplants that are likely to fail.
- 1 June 2007
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 49 (6) , 747-755
Measuring and Forecasting Emergency Department Crowding in Real Time
- 1 June 2007
- Published by Elsevier in Annals of Emergency Medicine
- Vol. 49 (6) , 747-755
Measuring and Forecasting Emergency Department Crowding in Real Time