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
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

3.2K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.2K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

3.5K
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...
3.5K
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
Integrated Healthcare System01:20

Integrated Healthcare System

2.3K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
2.3K
Healthcare Agencies II01:17

Healthcare Agencies II

1.0K
There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
1.0K

You might also read

Related Articles

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

Sort by
Same author

BRIDGE: benchmarking large language models for understanding real-world clinical practice texts.

Nature biomedical engineering·2026
Same author

Patient perspectives on clinicians' use of ambient AI scribes.

JAMIA open·2026
Same author

Development of Longitudinal, Linked Maternal-Infant Cohorts using the Epic Cosmos Electronic Health Record Dataset.

medRxiv : the preprint server for health sciences·2026
Same author

Risk factors associated with cancer and metabolic encephalopathy in Alzheimer's disease patients.

Frontiers in aging neuroscience·2026
Same author

Micro-randomization trial design under operational constraints.

Contemporary clinical trials·2026
Same author

Targeting JAK/STAT With Ruxolitinib in Acute Fulminant Myocarditis.

Journal of cardiac failure·2026
Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026
Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026
Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026
Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026
Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026
Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026
See all related articles

Related Experiment Video

Updated: Jan 8, 2026

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
07:13

Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

Published on: April 12, 2021

4.9K

Monitoring Deployed AI Systems in Health Care.

Timothy Keyes, Alison Callahan, Abby S Pandya

    Arxiv
    |December 19, 2025
    PubMed
    Summary
    This summary is machine-generated.

    Effective post-deployment monitoring of artificial intelligence (AI) in healthcare is crucial. A new framework ensures AI systems remain safe, effective, and beneficial by tracking integrity, performance, and impact.

    More Related Videos

    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
    A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
    04:24

    A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

    Published on: April 19, 2019

    12.2K

    Related Experiment Videos

    Last Updated: Jan 8, 2026

    Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform
    07:13

    Digital Home-Monitoring of Patients after Kidney Transplantation: The MACCS Platform

    Published on: April 12, 2021

    4.9K
    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
    A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program
    04:24

    A Novel Digital Platform for a Monitored Home-based Cardiac Rehabilitation Program

    Published on: April 19, 2019

    12.2K

    Area of Science:

    • Health Informatics
    • Artificial Intelligence in Medicine
    • Clinical Decision Support

    Background:

    • Post-deployment monitoring of healthcare artificial intelligence (AI) is vital for safety, quality, and governance.
    • Ensuring AI systems continue to provide benefits and function as intended requires robust oversight.

    Purpose of the Study:

    • To develop and present a practical framework for monitoring deployed AI systems in healthcare.
    • To guide health systems in establishing actionable monitoring plans for AI.

    Main Methods:

    • Developed a framework based on three principles: system integrity, performance, and impact.
    • Illustrated with examples from an academic medical center for both traditional and generative AI.
    • Provided guidance on metrics, review schedules, responsibilities, and follow-up actions.

    Main Results:

    • The framework is actively used at Stanford Health Care.
    • It addresses system uptime, error detection, IT ecosystem changes, data drift, and clinical/patient value.
    • Practical guidance is offered for creating comprehensive monitoring plans.

    Conclusions:

    • This framework provides a template for health systems to ensure AI deployments are safe and effective.
    • Implementation challenges include resource limitations and organizational complexities.
    • Continuous monitoring is essential for sustained AI benefit in healthcare.