ReviewBMC public health2022
Priorities for successful use of artificial intelligence by public health organizations: a literature review.
Review in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
66 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Effectiveness of Digital Interventions to Increase Preventive Care Uptake in Older Adults: Systematic Review.JMIR aging · 2026Pooled it
- Opportunities and challenges of artificial intelligence in public health: a systematic review on technological efficacy, ethical dilemmas, and governance pathways.Frontiers in public health · 2025Pooled it
- Introduction to the Special Issue on Transforming Prevention Science: Advances and Applications of Artificial Intelligence and Related Methods.Prevention science : the official journal of the Society for Prevention Research · 2026Article
- Addressing Health Disparities through Community Engagement in Artificial Intelligence-Driven Prevention Science.Prevention science : the official journal of the Society for Prevention Research · 2026Review
- AI-Driven Dentistry and Public Health Surveillance: Opportunities and Challenges.Public health challenges · 2026Review
- Artificial Intelligence and Healthcare Policy: A Bibliometric Analysis of Global Research Trends.Healthcare (Basel, Switzerland) · 2026Article
- Comparing Perceptions of ChatGPT Use in Health Attitude Contexts Among Users and Nonusers: Cross-Sectional Study.JMIR formative research · 2026Article
- Comparison of Artificial Intelligence Tools With Human Coding for Sentiment, Topic, and Thematic Analysis Tasks of Public Health Datasets During the COVID-19 Pandemic in Australia: Case Study.Online journal of public health informatics · 2026Article
- Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction.Journal of public health research · 2026Review
- Role of Digital Health Technologies and Artificial Intelligence in Modern Public Health Surveillance.Cureus · 2026Review
- Artificial Intelligence in Public Health Education: A Scoping Review of Workforce Competency Development.Health science reports · 2026Article
- Artificial intelligence in Brazilian public health: potential, challenges, and ethical implications for the Brazilian Unified Health System.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026Article
- Impact, use, and implications of artificial intelligence in public health decision making by elected officials: a scoping review.Frontiers in public health · 2026Article
- Can artificial intelligence improve health performance? The mediating role of health innovation and the moderating role of digital infrastructure.Frontiers in public health · 2026Article
- Building bridges between public health and computer science departments in academia to foster artificial intelligence knowledge and skills for the digital age.Frontiers in public health · 2026Article
- Training the public health workforce for generative AI: validation of the Italian Chatbot Usability Questionnaire.Frontiers in public health · 2026Article
- Digital paradigm of public health.Frontiers in public health · 2026Review
- Assessing Usefulness of the Dashboard Instrument to Review Equity (DIRE) Checklist to Evaluate Equity in Public Health Dashboards: Reliability Study.JMIR public health and surveillance · 2025Article
- Will AI Improve Public Health? Setting the Standards for Meaningful Impact.Canadian journal of public health = Revue canadienne de sante publique · 2025Article
- Integrating Artificial Intelligence Solutions from Precision Medicine and Genomics to Precision Public Health and Public Health Genomics Knowledge Base.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2025Article
6 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Artificial intelligence (AI) has the potential to improve public health's ability to promote the health of all people in all communities. To successfully realize this potential and use AI for public health functions it is important for public health organizations to thoughtfully develop strategies for AI implementation. Six key priorities for successful use of AI technologies by public health organizations are discussed: 1) Contemporary data governance; 2) Investment in modernized data and analytic infrastructure and procedures; 3) Addressing the skills gap in the workforce; 4) Development of strategic collaborative partnerships; 5) Use of good AI practices for transparency and reproducibility, and; 6) Explicit consideration of equity and bias.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.