Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Modeling the Cost-Effectiveness of Incorporating Extracorporeal Cardiopulmonary Resuscitation Strategy in Out-of-Hospital Cardiac Arrest Patients.

Critical care medicine·2026
Same author

Comparative efficiency of Asian surgical systems in COVID-19 response: a multi-level longitudinal benchmarking study.

BMJ public health·2026
Same author

The journey after restart: understanding the multidimensional experience of cardiac arrest survivors.

Singapore medical journal·2026
Same author

AI-induced never-skilling in medical education.

Nature medicine·2026
Same author

Developing and validating an electronic health record-embedded AI model for managing multimorbid hospitalisation risk in patients with chronic RESpiratory disease (AiRES): a study protocol.

BMJ open·2026
Same author

Perspectives from healthcare providers and decision-makers on strategies toward a future hospital: qualitative insights from a group modelling process.

BMC health services research·2026
Same journal

Medical students' use of large language models: a national survey.

International journal of medical informatics·2026
Same journal

BlockFedMed: A blockchain-federated learning framework for privacy-preserving mortality prediction across heterogeneous intensive care units.

International journal of medical informatics·2026
Same journal

Integrating clinical decision support systems in pediatric oncology: A scoping review of applications, implementation gaps, and management Implications.

International journal of medical informatics·2026
Same journal

Understanding digital health capability of allied health professionals - a mixed-methods study with content validity analysis.

International journal of medical informatics·2026
Same journal

On-premises open-source large language models for privacy-preserving multimodal depression screening.

International journal of medical informatics·2026
Same journal

Data mining methods, tasks, and algorithms for adverse drug reaction analysis in pharmacovigilance: A scoping review.

International journal of medical informatics·2026
See all related articles

Related Experiment Video

Updated: Feb 23, 2026

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

20.5K

Simulation-based decision support framework for dynamic ambulance redeployment in Singapore.

Sean Shao Wei Lam1, Clarence Boon Liang Ng2, Francis Ngoc Hoang Long Nguyen3

  • 1Health Services Research Centre, Singapore Health Services; Health Services and Systems Research, Duke-NUS Graduate Medical School, Singapore.

International Journal of Medical Informatics
|September 6, 2017
PubMed
Summary
This summary is machine-generated.

Dynamic ambulance redeployment using Approximate Dynamic Programming (ADP) and Discrete Events Simulation (DES) improved emergency response times. This approach optimized ambulance allocation, reducing unmet calls by approximately 8000 dispatches.

Keywords:
Ambulance deploymentApproximate dynamic programmingDiscrete events simulationDynamic redeployment policiesEmergency medical services

More Related Videos

In Vitro Model of Human Cutaneous Hypertrophic Scarring using Macromolecular Crowding
08:20

In Vitro Model of Human Cutaneous Hypertrophic Scarring using Macromolecular Crowding

Published on: May 1, 2020

7.2K
Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

9.0K

Related Experiment Videos

Last Updated: Feb 23, 2026

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators
09:51

Model Surgical Training: Skills Acquisition in Fetoscopic Laser Photocoagulation of Monochorionic Diamniotic Twin Placenta Using Realistic Simulators

Published on: March 21, 2018

20.5K
In Vitro Model of Human Cutaneous Hypertrophic Scarring using Macromolecular Crowding
08:20

In Vitro Model of Human Cutaneous Hypertrophic Scarring using Macromolecular Crowding

Published on: May 1, 2020

7.2K
Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration
11:43

Concentric Gel System to Study the Biophysical Role of Matrix Microenvironment on 3D Cell Migration

Published on: April 3, 2015

9.0K

Area of Science:

  • Operations Research
  • Healthcare Management
  • Computer Science

Background:

  • Ambulance redeployment is crucial for efficient Emergency Medical Services (EMS).
  • Geospatial-temporal variations in demand necessitate dynamic resource allocation strategies.
  • Existing policies may not fully capitalize on real-time demand fluctuations.

Purpose of the Study:

  • To propose a novel modeling framework for dynamic ambulance redeployment in Singapore.
  • To optimize ambulance resource allocation by leveraging spatio-temporal demand variations.
  • To derive approximate optimal dynamic redeployment policies using Approximate Dynamic Programming (ADP).

Main Methods:

  • Developed a Discrete Events Simulation (DES) model of Singapore's national EMS system.
  • Utilized a dataset of 216,973 incidents from 2011-2012.
  • Evaluated an ADP model with linear value function approximations using temporal difference (TD) learning algorithms.

Main Results:

  • An estimated 5% reduction in calls unmet within the 8-minute response time threshold was achieved (approx. 8000 dispatches).
  • Redeployment policies restricted within operational divisions showed promising response time improvements.
  • The optimal policy involved redeploying released ambulances and relocating idle ones.

Conclusions:

  • Successfully applied an ADP framework with a DES model for dynamic ambulance redeployment.
  • Demonstrated the generation of approximate optimal dynamic redeployment plans for Singapore's EMS.
  • Evaluated various policies and scenarios relevant to the Singapore EMS system.