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

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

973
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
973
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

622
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...
622
Patient-centered Care01:13

Patient-centered Care

2.2K
Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
2.2K
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

909
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
909
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches01:23

Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches

169
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
169
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.8K
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...
5.8K

You might also read

Related Articles

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

Sort by
Same author

Using Heart Rate to Measure Stress in Healthcare Workers Wearing PAPRs and N95 Masks: Insights from a Randomized Trial.

Sensors (Basel, Switzerland)·2026
Same author

Fontan Route Remodeling over Time: A Longitudinal Quantitative 3D Case Series.

Journal of cardiovascular development and disease·2026
Same author

A Call to Recognize the Integral Role of Physician Associates and Nurse Practitioners in Modern Health Care: Editorial.

Journal of participatory medicine·2026
Same author

Towards responsible artificial intelligence in healthcare-getting real about real-world data and evidence.

Journal of the American Medical Informatics Association : JAMIA·2025
Same author

An ultrasensitive method for detection of cell-free RNA.

Nature·2025
Same author

Family Navigation for Children with Autism: A Scoping Review of Quantitative and Qualitative Evidence.

Journal of autism and developmental disorders·2025
Same journal

A Stepped Care, Peer-Delivered Intervention to Improve Substance Use and HIV Medication Adherence in Primary Care in South Africa (Project <i>Khanya</i>): Protocol for a Hybrid Type 2 Effectiveness-Implementation Randomized Controlled Trial.

JMIR research protocols·2026
Same journal

Optimizing Engagement with Digital Mental Health Resources Among Sexual and Gender Minority Users: Protocol for a Series of Microrandomized Trials.

JMIR research protocols·2026
Same journal

Correction: HealthData@MAD-R&I: Protocol for Design and Development of a Regional Health Data Infrastructure to Enable Secondary Use of Health Data in Research and Innovation.

JMIR research protocols·2026
Same journal

A Clinician-Supported Mobile App to Reduce Mental Health Symptoms Among World Trade Center Responders in Florida: Protocol for a Randomized Controlled Trial.

JMIR research protocols·2026
Same journal

Emergency Department-Initiated Hospice and Palliative Care Consultation Among Older Adults: Protocol for a Systematic Review and Meta-Analysis.

JMIR research protocols·2026
Same journal

The South Texas Oral Health Network Study of Practitioners' Approaches to Oral Appliance Therapy Titration for Obstructive Sleep Apnea and Their Impact on Patient Outcomes (PAOSA): Protocol for a Prospective Observational Study.

JMIR research protocols·2026
See all related articles

Related Experiment Video

Updated: Sep 4, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K

Combining Machine Learning, Patient-Reported Outcomes, and Value-Based Health Care: Protocol for Scoping Reviews.

Tyler Raclin1, Amy Price1, Christopher Stave2

  • 1Department of Anaesthesiology, Stanford School of Medicine, Stanford, CA, United States.

JMIR Research Protocols
|July 18, 2022
PubMed
Summary
This summary is machine-generated.

This review explores integrating patient-reported outcomes (PROMs) and experiences (PREMs) with machine learning (ML) to enhance healthcare. It identifies best practices for public involvement in developing ML tools for better patient partnerships in research.

Keywords:
algorithmartificial intelligenceeHealthmachine learningpatient experiencepatient-reported experience measurespatient-reported outcome measuresscoping reviewvalue-based care

More Related Videos

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.8K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K

Related Experiment Videos

Last Updated: Sep 4, 2025

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
04:09

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma

Published on: October 10, 2018

8.3K
Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care
14:32

Using Visual and Narrative Methods to Achieve Fair Process in Clinical Care

Published on: February 16, 2011

23.8K
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
06:55

Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index

Published on: January 8, 2020

14.6K

Area of Science:

  • Healthcare Informatics
  • Artificial Intelligence in Medicine
  • Patient-Centered Research

Background:

  • Patient-reported outcome measures (PROMs) and patient-reported experience measures (PREMs) capture crucial patient perspectives often missed by objective health data.
  • Machine learning (ML) in healthcare traditionally relies on objective data, potentially overlooking patient priorities and experiences.
  • Integrating PROMs/PREMs with ML can create a more comprehensive patient health assessment and improve healthcare delivery.

Purpose of the Study:

  • To conduct a scoping review identifying gaps and benefits of integrating machine learning with patient-reported outcomes.
  • To explore the development of improved public and patient partnerships in research and healthcare through ML integration.
  • To identify best practices for incorporating patient-reported data into ML algorithms.

Main Methods:

  • A scoping review was performed, searching multiple databases (Ovid MEDLINE, Embase, PsycINFO, etc.) for relevant literature.
  • The review addressed three key questions regarding public engagement in AI development, PROMs integration in ML, and the influence of value-based healthcare.
  • Systematic reviews, overviews, quantitative, qualitative, and mixed-methods studies were included, with screening using Covidence software.

Main Results:

  • The literature search has been completed, and data is being managed collaboratively using Covidence software.
  • The review will adhere to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for reporting.
  • Analysis will focus on identifying successful examples and best practices for ML and patient-reported data integration.

Conclusions:

  • Findings will highlight effective methods for involving the public in the development of machine learning systems in healthcare.
  • The review will identify successful interventions and outcomes that have utilized PROMs and PREMs in conjunction with ML.
  • This work aims to inform the development of more patient-centric AI tools in health research and practice.