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

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

107
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
107
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

69
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
69
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
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

2.5K
Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.5K
Ethical Dilemmas II01:30

Ethical Dilemmas II

938
Resolving an ethical dilemma in healthcare involves a systematic approach that considers every aspect of the issue, respecting both the patient's needs and values and the healthcare professional's ethical obligations. Here are potential steps to resolve an ethical dilemma:
938

You might also read

Related Articles

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

Sort by
Same author

Nipping Fraud in the Bud? Challenges for Detecting and Managing Issues of Research Integrity Before Publication.

Anesthesia and analgesia·2026
Same author

Predicting enzyme-compound associations for enzyme-catalysed reactions.

Journal of cheminformatics·2026
Same author

Advancing dementia identification using machine learning and real-world sequential health data.

Alzheimer's & dementia (Amsterdam, Netherlands)·2026
Same author

Tikanga and Ethical Considerations for Visual Research with Rangatahi Māori.

Journal of the Royal Society of New Zealand·2026
Same author

Continual learning: A systematic literature review.

Neural networks : the official journal of the International Neural Network Society·2025
Same author

Why do women in health seek mentoring-a descriptive study of a mentorship programme for women in Aotearoa New Zealand.

The New Zealand medical journal·2025
Same journal

<i>Comments on</i>: Toward Eliminating Hepatocellular Carcinoma From Aotearoa New Zealand.

Journal of the Royal Society of New Zealand·2026
Same journal

Use of the Māori Health Data Model Planning and Protocol Checklist in the Abdominal Aortic Aneurysm and Atrial Fibrillation Screening Research Programme in Aotearoa.

Journal of the Royal Society of New Zealand·2026
Same journal

Where to Next for Māori Health Research Review Processes? Insights Into the Indigenous Context: An Integrative Systematic Literature Review.

Journal of the Royal Society of New Zealand·2026
Same journal

Māori Research Data Governance in New Zealand Universities.

Journal of the Royal Society of New Zealand·2026
Same journal

The Biosynthesis and Functions of Flavonoids: Recent Advances From Studies Across Land Plant Diversity.

Journal of the Royal Society of New Zealand·2026
Same journal

Editorial - Aotearoa New Zealand's National Science Challenges: Mission-Led Research with Impact.

Journal of the Royal Society of New Zealand·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.1K

Lessons learned from developing a COVID-19 algorithm governance framework in Aotearoa New Zealand.

Daniel Wilson1, Frith Tweedie2, Juliet Rumball-Smith3

  • 1School of Computer Science, Waipapa Taumata Rau/University of Auckland, Auckland, New Zealand.

Journal of the Royal Society of New Zealand
|October 23, 2024
PubMed
Summary
This summary is machine-generated.

New Zealand established a national algorithm hub and governance group to ensure safe and effective use of COVID-19 algorithms. This cross-disciplinary approach built trust, enabling rapid translation of research into practice for pandemic response.

Keywords:
AlgorithmsCOVID-19artificial intelligenceclinical decision supportgovernance frameworkhealthcare data or healthcare algorithmsprediction modelsrisk models

More Related Videos

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Related Experiment Videos

Last Updated: Jun 9, 2025

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses
03:53

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

1.1K
Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs
07:13

Swabbing the Urban Environment - A Pipeline for Sampling and Detection of SARS-CoV-2 From Environmental Reservoirs

Published on: April 9, 2021

4.2K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.0K

Area of Science:

  • Public Health
  • Health Informatics
  • Algorithm Governance

Background:

  • Aotearoa New Zealand utilized algorithms for COVID-19 decision-making.
  • The New Zealand Algorithm Hub (Te Pokapū Hātepe o Aotearoa) was created to manage these algorithms.
  • A critical need existed for robust governance of deployed algorithms.

Purpose of the Study:

  • To describe the establishment and functioning of a national algorithm governance group.
  • To share experiences and lessons learned from the governance process.
  • To highlight the importance of multi-perspective scrutiny for algorithm implementation.

Main Methods:

  • Formation of a cross-disciplinary governance group with diverse expertise.
  • Inclusion of data science, clinical, Māori, consumer, ethical, public health, privacy, legal, and governmental perspectives.
  • Development of a framework for evaluating and scrutinizing COVID-19 algorithms.

Main Results:

  • Successful establishment of a national algorithm governance structure.
  • Creation of a high-trust platform for algorithm deployment.
  • Demonstration of rapid translation of algorithms from research to practice.

Conclusions:

  • Robust, multi-perspective governance is essential for trustworthy algorithm implementation in public health.
  • The New Zealand model provides a novel approach to national algorithm governance.
  • Effective governance facilitates the safe and rapid use of algorithms during health crises.