ReviewHealthcare (Basel, Switzerland)2022
Towards the Use of Big Data in Healthcare: A Literature Review.
Review in Healthcare (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis 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
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Enhancing digital readiness and capability in healthcare: a systematic review of interventions, barriers, and facilitators.BMC health services research · 2025Pooled it
- A function-based framework for AI-amplified, data-driven healthcare simulation research.Advances in simulation (London, England) · 2026Article
- Impact of Artificial Intelligence on the Care of Terminally Ill Patients.Healthcare (Basel, Switzerland) · 2026Review
- Big data in modelling geographical accessibility to healthcare: a scoping review protocol.BMJ open · 2025Article
- Integrating Health Care Data in an Informatics for Integrating Biology & the Bedside (i2b2) Model Persisted Through Elasticsearch: Design, Implementation, and Evaluation in a French University Hospital.JMIR medical informatics · 2025Article
- Empowering Health Professionals with Digital Skills to Improve Patient Care and Daily Workflows.Healthcare (Basel, Switzerland) · 2025Article
- Cesarean delivery and hypothermia: an example of how registry data can inform clinical practice.Proceedings (Baylor University. Medical Center) · 2025Article
- Use of Creative Frameworks in Health Care to Solve Data and Information Problems: Scoping Review.JMIR human factors · 2024Article
- Effect of Online Clinic on Follow-Up Compliance and Survival Outcomes in Nasopharyngeal Carcinoma: Real-World Cohort Study from Endemic Area.Healthcare (Basel, Switzerland) · 2024Article
- ICT in Nursing and Patient Healthcare Management: Scoping Review and Case Studies.Sensors (Basel, Switzerland) · 2024Article
- Security risk models against attacks in smart grid using big data and artificial intelligence.PeerJ. Computer science · 2024Article
- Machine learning for autism spectrum disorder diagnosis using structural magnetic resonance imaging: Promising but challenging.Frontiers in neuroinformatics · 2022Review
- Biobanking in the digital pathology era.Oncology research · 2021Article
- Improving community health centres with big data analytics: A systematic literature review on adoption.Digital healthReview
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.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The interest in new and more advanced technological solutions is paving the way for the diffusion of innovative and revolutionary applications in healthcare organizations. The application of an artificial intelligence system to medical research has the potential to move toward highly advanced e-Health. This analysis aims to explore the main areas of application of big data in healthcare, as well as the restructuring of the technological infrastructure and the integration of traditional data analytical tools and techniques with an elaborate computational technology that is able to enhance and extract useful information for decision-making. We conducted a literature review using the Scopus database over the period 2010-2020. The article selection process involved five steps: the planning and identification of studies, the evaluation of articles, the extraction of results, the summary, and the dissemination of the audit results. We included 93 documents. Our results suggest that effective and patient-centered care cannot disregard the acquisition, management, and analysis of a huge volume and variety of health data. In this way, an immediate and more effective diagnosis could be possible while maximizing healthcare resources. Deriving the benefits associated with digitization and technological innovation, however, requires the restructuring of traditional operational and strategic processes, and the acquisition of new skills.
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.