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

Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.7K
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...
3.7K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
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...
5.9K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

1.1K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
1.1K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

688
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...
688
Introduction To Health Care Delivery System01:18

Introduction To Health Care Delivery System

3.4K
The healthcare system is constantly changing and complex. Various services are available from different healthcare providers, but gaining access to these services has become challenging for people with limited healthcare insurance. Uninsured people present a challenge to healthcare because they frequently postpone or forego treatment.
The Institute of Medicine (IOM) advocates for a patient-centered, effective, safe, timely, equitable, and effective healthcare system. The National Priorities...
3.4K
Secondary Healthcare System01:11

Secondary Healthcare System

1.8K
Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
1.8K

You might also read

Related Articles

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

Sort by
Same author

Hybrid deep learning and feature selection approach for autism detection from rs-fMRI data.

PloS one·2026
Same author

Aerial image segmentation using multilevel thresholding based on multi strategy Osprey optimization algorithm.

Scientific reports·2026
Same author

Enhancing particle swarm optimization based on optical computing mechanism: application to dyslexia detection.

Frontiers in artificial intelligence·2026
Same author

The multi-level image segmentation in dermatology application using an enhance Secretary Bird Optimization Algorithm.

Scientific reports·2025
Same author

Memetic Salp Swarm Algorithm for economic load dispatch problems.

Scientific reports·2025
Same author

Deep learning-based feature selection for detection of autism spectrum disorder.

Frontiers in artificial intelligence·2025

Related Experiment Video

Updated: Nov 8, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.6K

Healthcare scheduling in optimization context: a review.

Zahraa A Abdalkareem1,2, Amiza Amir1, Mohammed Azmi Al-Betar3,4

  • 1Faculty of engineering technology /Department of Computer Engineering, University Malaysia Perlis, Kanger 02600 Arau, Perlis, Malaysia.

Health and Technology
|April 19, 2021
PubMed
Summary

This review synthesizes recent healthcare scheduling research, analyzing 190 articles on patient admission, nurse, and operating room scheduling. It integrates findings on problem definitions, formulations, datasets, and methods to guide future optimization strategies.

Keywords:
Healthcare schedulingHeursticMeta-heursticsMetaheursticNurse schedulingOperating room schedulingOperating theaterPatient admission schedulingPatient to bed assignmentPhysician schedulingSurgery schedulingSurgical scheduling

More Related Videos

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K

Related Experiment Videos

Last Updated: Nov 8, 2025

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System
08:25

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System

Published on: April 11, 2018

15.6K
Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant
05:18

Author Spotlight: Improving Radiation Therapy Access with Radiation Planning Assistant

Published on: October 6, 2023

1.6K

Area of Science:

  • Operations Research
  • Healthcare Management
  • Computer Science

Background:

  • Healthcare scheduling is critical for optimizing hospital resources, patient flow, and treatment delivery.
  • Metaheuristics methods have increasingly been used to automate resource management in healthcare settings.
  • Existing research results are fragmented due to independent problem-solving and varied datasets.

Purpose of the Study:

  • To provide a comprehensive survey of recent literature on healthcare scheduling problems.
  • To integrate existing research findings by analyzing problem definitions, formulations, datasets, and methods.
  • To highlight recent developments and identify future research trends in healthcare scheduling.

Main Methods:

  • A systematic literature review and analysis of 190 articles.
  • Categorization of studies based on problem definition, formulations, data sets, and methods.
  • Focus on patient admission, nurse, and operation room scheduling problems.

Main Results:

  • Identified fragmentation in current research due to diverse problem definitions and datasets.
  • Synthesized approaches across problem definition, formulations, data sets, and methods.
  • Summarized key findings for common healthcare scheduling issues.

Conclusions:

  • A unified approach is needed to address the fragmented nature of healthcare scheduling research.
  • This review provides a foundation for future research by consolidating existing knowledge.
  • Identified emerging trends and future directions for optimizing healthcare operations.