ReviewComputational intelligence and neuroscience2022
A Review of the Role and Challenges of Big Data in Healthcare Informatics and Analytics.
Review in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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
23 citing papers in PubMed.
- Quality and patient safety surveillance systems in healthcare settings: a rapid realist review.BMJ open · 2026Review
- Factors affecting the collection of clinical data for quality improvement at a tertiary centre in Papua New Guinea: a qualitative study.Journal of global health · 2026Article
- From Knowledge Graphs to Digital Twins: Perspectives on Modeling Patient Outcomes for Health Care Quality Assessment.Journal of medical Internet research · 2026Article
- Safeguarding patient privacy in eHealth systems: Bridging theory and practice through a scoping review and healthcare survey.PLOS digital health · 2026Article
- Hybrid modelling using simulation and machine learning in healthcare.Computers & operations research · 2026Review
- A Multiagent Summarization and Auto-Evaluation Framework for Medical Text: Development and Evaluation Study.JMIR AI · 2025Article
- Big data in modelling geographical accessibility to healthcare: a scoping review protocol.BMJ open · 2025Article
- Rasch analysis of the mobile version of the eHealth literacy scale for cardiovascular disease patients.Scientific reports · 2025Article
- Are Treatment Services Ready for the Use of Big Data Analytics and AI in Managing Opioid Use Disorder?Journal of medical Internet research · 2025Article
- Revolutionizing Utility of Big Data Analytics in Personalized Cardiovascular Healthcare.Bioengineering (Basel, Switzerland) · 2025Review
- Enhancing clinical outcome predictions through effective sample size evaluation in graph-based digital twin modeling.BioData mining · 2025Article
- A deep learning model for clinical outcome prediction using longitudinal inpatient electronic health records.JAMIA open · 2025Article
- Challenges and opportunities in uncertainty quantification for healthcare and biological systems.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- Essential Skill and Knowledge Required for Health Data Professionals: A Content Analysis of Job Advertisements.Perspectives in health information managemen · 2024Article
- DiScO: novel rapid systems mapping to inform digital transformation of health systems.Frontiers in public health · 2024Article
- Utilization of smart devices and the evolution of customized healthcare services focusing on big data: a systematic review.mHealth · 2024Review
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- Molecular Property Prediction by Combining LSTM and GAT.Biomolecules · 2023Article
- Medical practitioner perspectives on AI in emergency triage.Frontiers in digital health · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Healthcare has evolved with the development of technology to improve the quality of life and save lives. Today, big data is considered as one of the most essential and promising future technology areas and has been attracting the medical community's attention. As a result of big data, we can improve patient outcomes, personalize care, improve relationships between the patient and the provider, and decrease hospital costs. The effect of big data is very large since medical societies are known for their size, diversity of complexity, and a high degree of dynamism. Big data has been discussed from different viewpoints in recent years, protecting its involvement in many aspects, specifically those related to the healthcare system. Assembling health information, sharing data, and integrating health are essential in spreading health care. In addition, the security and privacy of data are critical since the data must be accessed from multiple locations within the distributed system. This paper review aims to understand the role of big data in healthcare issues aggregating data and the challenges associated with big data in healthcare. The papers that have been selected for review are from last year's research.
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.