ReviewJMIR medical informatics2016
Challenges and Opportunities of Big Data in Health Care: A Systematic Review.
Review in JMIR medical informatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 115 papers, 3 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
115 citing papers in PubMed, 3 syntheses or guidelines pooled it, 396 citations in OpenAlex.
- The Management Perspective in Digital Health Literature: Systematic Review.JMIR mHealth and uHealth · 2022Pooled it
- Blockchain applications in health care for COVID-19 and beyond: a systematic review.The Lancet. Digital health · 2021Pooled it
- Variation in approaches to antimicrobial use surveillance in high-income secondary care settings: a systematic review.The Journal of antimicrobial chemotherapy · 2021Pooled 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
- Applying the hospital administrative data quality scoring tool in 15 countries.Health information management : journal of the Health Information Management Association of Australia · 2026Article
- Data Maturity Assessment in Long-Term Care: Mixed Methods Study.Journal of medical Internet research · 2026Article
- Patient Perceptions and Acceptance of Blockchain-Based Health Data Sharing in Oncology: Cross-Sectional Survey.JMIR formative research · 2026Article
- Artificial Intelligence in Cardiovascular Medicine: A Giant Step in Personalized Medicine?Journal of personalized medicine · 2026Review
- The critical role of standards for AI in digital pathology: Digital Pathology Association Concept Paper.Journal of pathology informatics · 2026Article
- Development and content validation of a health assessment item bank for regional health big data: a sequential mixed-methods approach.Health and quality of life outcomes · 2026Article
- Article
- Medical QA dialogue datasets in RAG systems performance evaluation and ChatGPT optimization.Scientific reports · 2025Article
- Elderly Activity Life-Space Envelopes (EASE): Development and Feasibility of a Comprehensive, Integrated Protocol for Life-Space Mobility Research in Population Health.JMIR research protocols · 2025Article
- Toward Data-Informed Care in Long-Term Care: Qualitative Analysis.JMIR aging · 2025Article
- Using population risk prediction for healthcare planning: a qualitative study of healthcare planners' experiences and views.Journal of public health (Oxford, England) · 2025Article
- Insights into motor impairment assessment using myographic signals with artificial intelligence: a scoping review.Biomedical engineering letters · 2025Review
- An In-depth overview of artificial intelligence (AI) tool utilization across diverse phases of organ transplantation.Journal of translational medicine · 2025Review
- Deep learning health space model for ordered responses.BMC medical informatics and decision making · 2025Article
- Semantics in action: a guide for representing clinical data elements with SNOMED CT.Journal of biomedical semantics · 2025Article
- Context factors in clinical decision-making: a scoping review.BMC medical informatics and decision making · 2025Article
55 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
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundBig data analytics offers promise in many business sectors, and health care is looking at big data to provide answers to many age-related issues, particularly dementia and chronic disease management.
objectiveThe purpose of this review was to summarize the challenges faced by big data analytics and the opportunities that big data opens in health care.
methodsA total of 3 searches were performed for publications between January 1, 2010 and January 1, 2016 (PubMed/MEDLINE, CINAHL, and Google Scholar), and an assessment was made on content germane to big data in health care. From the results of the searches in research databases and Google Scholar (N=28), the authors summarized content and identified 9 and 14 themes under the categories Challenges and Opportunities, respectively. We rank-ordered and analyzed the themes based on the frequency of occurrence.
resultsThe top challenges were issues of data structure, security, data standardization, storage and transfers, and managerial skills such as data governance. The top opportunities revealed were quality improvement, population management and health, early detection of disease, data quality, structure, and accessibility, improved decision making, and cost reduction.
conclusionsBig data analytics has the potential for positive impact and global implications; however, it must overcome some legitimate obstacles.
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.