ReviewEthnicity & disease2017
Big Data Science: Opportunities and Challenges to Address Minority Health and Health Disparities in the 21st Century.
Review in Ethnicity & disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers, 6 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
75 citing papers in PubMed, 6 syntheses or guidelines pooled it.
- Ethical issues raised by artificial intelligence and big data in population health: a scoping review.Frontiers in sociology · 2025Pooled it
- Challenges and solutions for transforming health ecosystems in low- and middle-income countries through artificial intelligence.Frontiers in medicine · 2022Pooled it
- Routine Health Information Systems in the European Context: A Systematic Review of Systematic Reviews.International journal of environmental research and public health · 2021Pooled it
- Pooled it
- Current status of use of big data and artificial intelligence in RMDs: a systematic literature review informing EULAR recommendations.RMD open · 2019Pooled it
- Pooled it
- Perceptions, attitudes, and concerns of underrepresented groups regarding the use of big data in children and young people's healthcare research - A systematic literature review.PLOS digital health · 2026Article
- Beyond green: sustainability in nuclear medicine practice.The British journal of radiology · 2025Review
- Associations between in-home environmental exposures and lung function in a safety net population of children with asthma using electronic health records and geospatial data.Annals of epidemiology · 2025Article
- Predicting Escalation of Care for Childhood Pneumonia Using Machine Learning: Retrospective Analysis and Model Development.JMIRx med · 2025Article
- Big data for neuroscience in the context of predictive, preventive, and personalized medicine.The EPMA journal · 2025Review
- A data science-based analysis of socioeconomic determinants impacting pediatric diagnostic radiology utilization during the COVID-19 pandemic.Pediatric radiology · 2024Article
- Electronic Health Record Phenotyping of Pediatric Suicide-Related Emergency Department Visits.JAMA network open · 2024Article
- Creation of a Limb Loss and Preservation Registry for Improving the Quality of Patient Care in the United States.Archives of rehabilitation research and clinical translation · 2024Article
- Targeting Machine Learning and Artificial Intelligence Algorithms in Health Care to Reduce Bias and Improve Population Health.The Milbank quarterly · 2024Article
- Public Involvement and Engagement in Big Data Research: Scoping Review.Journal of participatory medicine · 2024Article
- Evaluation of Public Involvement in Doctoral Research Using a Four-Dimensional Theoretical Framework.Health expectations : an international journal of public participation in health care and health policy · 2024Article
- Leveraging Existing Datasets to Advance Family Caregiving Research: Opportunities to Measure What Matters.Journal of aging & social policy · 2024Article
- A machine learning approach using migration-related cultural stress to classify depression and post-traumatic stress disorder among hurricane survivors.Journal of affective disorders · 2024Article
- Mining the health disparities and minority health bibliome: A computational scoping review and gap analysis of 200,000+ articles.Science advances · 2024Article
15 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
11 authors.
Funding
Abstract
Addressing minority health and health disparities has been a missing piece of the puzzle in Big Data science. This article focuses on three priority opportunities that Big Data science may offer to the reduction of health and health care disparities. One opportunity is to incorporate standardized information on demographic and social determinants in electronic health records in order to target ways to improve quality of care for the most disadvantaged populations over time. A second opportunity is to enhance public health surveillance by linking geographical variables and social determinants of health for geographically defined populations to clinical data and health outcomes. Third and most importantly, Big Data science may lead to a better understanding of the etiology of health disparities and understanding of minority health in order to guide intervention development. However, the promise of Big Data needs to be considered in light of significant challenges that threaten to widen health disparities. Care must be taken to incorporate diverse populations to realize the potential benefits. Specific recommendations include investing in data collection on small sample populations, building a diverse workforce pipeline for data science, actively seeking to reduce digital divides, developing novel ways to assure digital data privacy for small populations, and promoting widespread data sharing to benefit under-resourced minority-serving institutions and minority researchers. With deliberate efforts, Big Data presents a dramatic opportunity for reducing health disparities but without active engagement, it risks further widening them.
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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.