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

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.1K
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...
6.1K
Current Trends in Nursing II01:30

Current Trends in Nursing II

3.3K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
3.3K

You might also read

Related Articles

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

Sort by
Same author

Giant Right Atrial Aneurysm: Observation Versus Intervention.

JACC. Case reports·2026
Same author

Favourable outcome of a neonate with vein of Galen malformation with concurrent right superior vena cava draining into the left atrium.

Cardiology in the young·2026
Same author

Congenital Atresia of Left Main Coronary Artery in a Pediatric Patient.

CASE (Philadelphia, Pa.)·2026
Same author

A cluster randomized controlled trial of an electronic medical record-based pathway for pediatric asthma in primary care in Alberta.

CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne·2025
Same author

Surgical repair of an isolated right subclavian artery originating from the right pulmonary artery.

JTCVS techniques·2025
Same author

A Rare Case of Posterior Malalignment VSD with Interrupted Right Arch and Isolated Left Common Carotid Artery.

Pediatric cardiology·2025

Related Experiment Video

Updated: Jan 8, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

747

An approach to make general practitioner referrals suitable for artificial intelligence deployment.

Evelyn Lesiawan1, Bruce Sutherland2, Christoph Schumacher3

  • 1Advanced Physician Trainee, Health New Zealand - Te Whatu Ora, New Zealand.

The New Zealand Medical Journal
|December 11, 2025
PubMed
Summary

Decision support tools, including artificial intelligence and machine learning, can help manage increasing outpatient referral workloads. Combining simple decision trees with machine learning ensures patient safety and efficient triaging.

More Related Videos

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.3K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K

Related Experiment Videos

Last Updated: Jan 8, 2026

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
05:33

Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System

Published on: July 11, 2025

747
Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.3K
TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients
09:00

TBase - an Integrated Electronic Health Record and Research Database for Kidney Transplant Recipients

Published on: April 13, 2021

5.2K

Area of Science:

  • Healthcare management
  • Medical informatics
  • Artificial intelligence in medicine

Background:

  • Outpatient referrals represent a growing workload for hospital specialists.
  • Inefficient referral management poses significant risks to patient care.
  • Current referral systems lack standardization, leading to data gaps and variability.

Purpose of the Study:

  • To explore the potential of decision support systems (DSS), including AI and machine learning, for optimizing outpatient referral management.
  • To propose a structured approach for implementing AI-driven DSS in clinical practice.
  • To address the challenges of data standardization and decision variability in referral triaging.

Main Methods:

  • Conducted a survey of general practitioners' views on referral processes.
  • Performed an audit of declined outpatient referrals.
  • Developed draft decision trees for referral assessment.
  • Proposed a transition from free-text to structured referral formats.
  • Suggested combining decision trees with machine learning for triaging.

Main Results:

  • Identified a need for structured data in referrals for effective automated decision support.
  • Highlighted human variability in current triaging decisions.
  • Demonstrated the potential for AI and machine learning to standardize and improve referral decisions.
  • Emphasized the importance of an incremental implementation for patient safety.

Conclusions:

  • Structured referral data is essential for developing robust automated decision support.
  • A hybrid approach combining simple decision trees with advanced machine learning can enhance referral triaging.
  • Incremental implementation and training on gold-standard decisions are crucial for safe and effective DSS adoption.