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

Self-Help Support Groups01:28

Self-Help Support Groups

76
Self-help support groups are voluntary, community-based organizations that provide a platform for individuals with shared concerns to exchange support, insights, and practical strategies for coping with life challenges. Typically led by group members or paraprofessionals, these groups form a cornerstone of mental health care, especially in reaching populations that are underserved by traditional healthcare systems.
Accessibility and Cost-Effectiveness
One of the primary strengths of self-help...
76
Healthcare Agencies I01:18

Healthcare Agencies I

786
Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...
786
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

922
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
922
Healthcare Agencies II01:17

Healthcare Agencies II

750
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,...
750
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
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

3.5K
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...
3.5K

You might also read

Related Articles

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

Sort by
Same author

Does Recording Hardware Matter for Clinical Speech Recognition? Evaluating ASR Performance Across Consumer Devices.

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

A Framework for an Intelligent Social Engagement Support System: Identifying and Addressing Challenges at Multiple Levels to Reduce Health Disparities.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2026
Same author

Public Reporting on Solitary Confinement in Australian and New Zealand Prisons and Youth Detention Facilities.

Health and human rights·2025
Same author

A Computationally-guided Qualitative Analysis to Understand User Experiences with Different Types of Mobile Personal Health Records.

AMIA ... Annual Symposium proceedings. AMIA Symposium·2025
Same author

Amphetamine use and mental health difficulties across adolescence and young adulthood: An integrative data analysis of four Australasian cohort studies.

Addiction (Abingdon, England)·2025
Same author

The Monitoring Illicit Substance Use Consortium: A Study Protocol.

JAACAP open·2024

Related Experiment Video

Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682

Facilitating Online Healthcare Support Group Formation Using Topic Modeling.

Pronob Kumar Barman1, Tera L Reynolds1, James Foulds1

  • 1Department of Information Systems, University of Maryland, Baltimore County.

Studies in Health Technology and Informatics
|August 8, 2025
PubMed
Summary

This study introduces the Group-specific Dirichlet Multinomial Regression (gDMR) model to create personalized online patient support groups. gDMR enhances patient engagement and care by forming more relevant and coherent groups automatically.

Keywords:
Healthcare support groupsOnline health forumsPersonalized support groupsTopic modeling

More Related Videos

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.8K

Related Experiment Videos

Last Updated: Sep 12, 2025

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
03:14

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

Published on: December 6, 2024

682
Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
08:53

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

5.3K
Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
09:20

Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

8.8K

Area of Science:

  • Health Informatics
  • Computational Social Science
  • Digital Health

Background:

  • Online health forums are popular for peer support but often lack personalization and consistent engagement.
  • Large-scale forums struggle to meet diverse patient needs due to inconsistent interaction patterns.
  • Smaller, tailored support groups offer a potential solution for personalized patient interactions.

Purpose of the Study:

  • To introduce a novel framework, Group-specific Dirichlet Multinomial Regression (gDMR), for automated and personalized support group formation.
  • To enhance patient support by leveraging user-generated content, demographic, and interaction data.
  • To improve the semantic coherence and contextual relevance of patient support groups.

Main Methods:

  • Developed the Group-specific Dirichlet Multinomial Regression (gDMR) model, extending traditional Dirichlet Multinomial Regression (DMR).
  • Incorporated group-specific parameters and node embeddings to capture nuanced user patterns.
  • Utilized user-generated content, demographic information, and interaction data for group formation.

Main Results:

  • The gDMR model successfully formed groups that were more semantically coherent and contextually relevant compared to baseline models.
  • Demonstrated the scalability of the gDMR model for automated personalization of support groups.
  • Showcased reduced manual effort in tailoring support groups for enhanced patient engagement.

Conclusions:

  • The gDMR model offers a scalable and effective framework for personalizing patient support groups in digital healthcare.
  • This approach can foster more inclusive engagement and improve patient-centered care.
  • Findings suggest gDMR's applicability across digital health platforms, including online health communities and electronic health records (EHRs).