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

Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

810
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
810
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.2K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.2K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

561
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
561
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.6K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.6K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

45
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
45
Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

875
Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
875

You might also read

Related Articles

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

Sort by
Same author

Coronary Computed Tomography Angiography for the Diagnosis and Revascularization Guidance of Coronary Bifurcation Lesions: A Contemporary Review.

Journal of clinical medicine·2026
Same author

Global inequities in biologic and targeted DMARD use in rheumatoid arthritis: cross-sectional data from the international COVAD-2 cohort.

Rheumatology international·2026
Same author

Meningoencephalitis Caused by Escherichia coli in an Adult With No Known Immunocompromising Conditions: A Case Report.

The American journal of case reports·2026
Same author

Magnetic resonance imaging as a non-invasive breast cancer tool - the relevance of breast edema score: A retrospective study.

World journal of radiology·2026
Same author

Markers for the Severity of Multisystem Inflammatory Syndrome in Children: A Multivariate Analysis.

International journal of pediatrics·2026
Same author

Dynamic assessment of global longitudinal strain after isometric exercise to predict functionally significant coronary lesion.

European heart journal. Imaging methods and practice·2026

Related Experiment Video

Updated: Jun 12, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.6K

Method "Monte Carlo" in healthcare.

Tsvetelina Velikova1, Niya Mileva2, Emilia Naseva3

  • 1Medical Faculty, Sofia University St. Kliment Ohridski, Sofia 1407, Bulgaria.

World Journal of Methodology
|September 23, 2024
PubMed
Summary

The Monte Carlo method offers powerful simulation modeling capabilities for public health, promising significant cost reduction and risk mitigation in healthcare. This approach enables efficient system analysis and evaluation, especially in resource-limited settings.

Keywords:
Decision analysisHealth economicsHealthcareModelingMonte CarloSimulationStatistical techniquesStochastic methods

More Related Videos

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

372
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

Related Experiment Videos

Last Updated: Jun 12, 2025

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis
07:51

Hydra, a Computer-Based Platform for Aiding Clinicians in Cardiovascular Analysis and Diagnosis

Published on: September 26, 2018

7.6K
Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease
06:16

Signal Acquisition, Score Interpretation, and Economics of a Non-Invasive Point-of-Care Test for Coronary Artery Disease

Published on: August 9, 2024

372
A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
12:18

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment

Published on: January 11, 2020

7.5K

Area of Science:

  • Public Health
  • Health Systems Engineering
  • Computational Modeling

Background:

  • Simulation modeling is crucial in public health for system evaluation and risk assessment.
  • The Monte Carlo method is an underutilized simulation tool with potential for healthcare cost reduction and risk mitigation.
  • Experiential insights from simulations are vital for resource-constrained public health scenarios.

Purpose of the Study:

  • To explore the transformative potential of the Monte Carlo method in healthcare.
  • To highlight the benefits of simulated experimentation for public health challenges.
  • To advocate for the adoption of Monte Carlo methods in healthcare system analysis.

Main Methods:

  • Review article synthesizing existing literature on Monte Carlo methods in simulation.
  • Exploration of Monte Carlo method applications in public health contexts.
  • Analysis of the method's potential for cost reduction and risk mitigation.

Main Results:

  • The Monte Carlo method offers significant promise for cost reduction and risk mitigation in healthcare.
  • Simulated experimentation provides valuable insights, particularly in resource-limited environments.
  • The method facilitates enhanced system construction, analysis, and evaluation in public health.

Conclusions:

  • The Monte Carlo method is a powerful tool for public health simulation modeling.
  • Its adoption can lead to substantial cost savings and reduced risks in healthcare.
  • Integrating Monte Carlo methods is essential for addressing contemporary public health challenges effectively.