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

Vaccinations01:51

Vaccinations

44.7K
Overview
44.7K
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

124
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...
124
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

2.7K
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...
2.7K
Pharmacovigilance01:19

Pharmacovigilance

889
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
889
Microorganisms in Medicine and Therapeutics01:29

Microorganisms in Medicine and Therapeutics

54
Microorganisms play a fundamental role in vaccine development, gene therapy, and therapeutic production. Their biological properties are harnessed to advance medicine and public health. Beyond immunization, microorganisms contribute to gut health, antibiotic synthesis, and genetic disease treatment.Live Attenuated and Inactivated VaccinesLive attenuated vaccines, such as the measles, mumps, and rubella (MMR) vaccine, utilize weakened forms of pathogens to closely resemble natural infections.
54
Health Literacy01:21

Health Literacy

4.1K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Correction: Hybrid Care Modifications in the Delivery of Nonpandemic Care During the COVID-19 Pandemic: Scoping Review.

Journal of medical Internet research·2026
Same author

Hybrid Care Modifications in the Delivery of Nonpandemic Care During the COVID-19 Pandemic: Scoping Review.

Journal of medical Internet research·2026
Same author

Enlightened Change Agents or Nuisance Power? A Qualitative Interview Study Exploring How Hospital Board Members Deal with Dissenting Opinions.

Advances in medical education and practice·2026
Same author

Supporting Informed Decision-Making Regarding Participation in Cervical Cancer Prevention Programs: A Qualitative Study Among Turkish-, Moroccan-, and Syrian-Dutch Women.

Community health equity research & policy·2026
Same author

Including patient experiences from online sources in guidelines: A natural language processing study on scabies.

PloS one·2026
Same author

Data-Driven Infectious Disease Control: Qualitative Study of Professionals' Attitudes, Barriers, and Needs.

Journal of medical Internet research·2025

Related Experiment Video

Updated: Jul 18, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

277

Capturing Emerging Experiential Knowledge for Vaccination Guidelines Through Natural Language Processing:

Lea Lösch1, Teun Zuiderent-Jerak1, Florian Kunneman2

  • 1Athena Institute, Faculty of Science, Vrije Universiteit Amsterdam, Amsterdam, Netherlands.

Journal of Medical Internet Research
|August 23, 2023
PubMed
Summary

Artificial intelligence (AI) methods, specifically natural language processing (NLP), can effectively capture public health insights from social media and databases. This approach enhances the development of relevant and applicable health guidelines, especially during rapid response scenarios like pandemics.

Keywords:
COVID-19NLPSARS-CoV-2coronavirusguidelines as topichealth policynatural language processingpublic healthsocial mediastakeholder engagementvaccinationvaccine

More Related Videos

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

619
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

Related Experiment Videos

Last Updated: Jul 18, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

277
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

619
A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
07:50

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts

Published on: September 20, 2018

15.9K

Area of Science:

  • Public Health
  • Health Informatics
  • Artificial Intelligence

Background:

  • Experiential knowledge from health professionals, citizens, and patients is vital for creating relevant public health and clinical guidelines.
  • Traditional methods for incorporating this knowledge are time-consuming and involve limited representation.
  • Rapid guideline production, particularly during pandemics, faces challenges in integrating experiential insights.

Purpose of the Study:

  • To explore the potential of artificial intelligence (AI)-based methods for capturing experiential knowledge and value considerations.
  • To make these insights accessible for public health guideline development.
  • To address the limitations of conventional methods in guideline formulation.

Main Methods:

  • Development and examination of AI-based methods for COVID-19 vaccination guideline development in the Netherlands.
  • Analysis of Dutch social media messages and National Institute for Public Health and the Environment (RIVM) databases (December 2020 - June 2021).
  • Application of natural language processing (NLP) filtering and supervised machine learning for data analysis, followed by structural topic modeling.

Main Results:

  • NLP methods successfully identified and analyzed experience-based knowledge and value considerations in large datasets.
  • Insights were gained into diverse experiential knowledge crucial for rapid guideline development.
  • Identified topics highlighted discrepancies between guideline recommendations and real-world needs, such as vaccine prioritization for essential travel and ambiguity in defining risk groups.

Conclusions:

  • NLP methods are viable tools for accessing and utilizing experience-based knowledge, contributing to robust and applicable guidelines.
  • AI-based methods offer a valuable alternative when conventional approaches are difficult to implement.
  • These AI tools can broaden the evidence base for rapid guideline development, enhancing pandemic preparedness.