SynthesisNature communications2024
Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC).
Synthesis in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- "First, do no harm" in the digital era: examining the practicality of the European Health Data Space proposal and ethical implications of artificial intelligence: A systematic literature review.BMC medical ethics · 2026Pooled it
- Systematic review and meta-analysis for a Global Patient co-Owned Cloud (GPOC).Nature communications · 2024Pooled it
- AI-driven early detection of severe influenza in Jiangsu, China: a deep learning model validated through the design of multi-center clinical trials and prospective real-world deployment.Frontiers in public health · 2025Trial
- A conceptual framework for measuring AI health equity.International journal for equity in health · 2026Article
- Estimating mortality in conflict settings: expert perspectives on methods, barriers, and ethical challenges.BMC public health · 2026Article
- Cyberspatial privacy in the digital age: a proxemics-based framework with a healthcare application.BMC medical ethics · 2026Article
- Fostering an enabling environment for health AI innovation and scale: The need for tailored ethics training for innovators in low- and middle-income countries.AI and ethics · 2026Article
- Cracking the code: AI's role in mapping evidence syntheses to the United Nations sustainable development goals.Archives of public health = Archives belges de sante publique · 2025Article
- Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology.European radiology · 2025Review
- Bridging ethical gaps in digital health research: a framework for informed consent aligned with NIH guidance.BMC medical ethics · 2025Article
- Behavioral drivers of AI nursing acceptance in the Greater Bay Area: a family-caregiver perspective on trust and risk.Frontiers in public health · 2025Article
- Rapid review on GenAI in nursing education.Frontiers in health services · 2025Review
- Transforming clinical reasoning-the role of AI in supporting human cognitive limitations.Frontiers in digital health · 2025Review
- The integration of AI in nursing: addressing current applications, challenges, and future directions.Frontiers in medicine · 2025Review
- Bridging the Divide: A Review on the Implementation of Personalized Cancer Medicine.Journal of personalized medicine · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cloud-based personal health records increase globally. The GPOC series introduces the concept of a Global Patient co-Owned Cloud (GPOC) of personal health records. Here, we present the GPOC series' Prospective Register of Systematic Reviews (PROSPERO) registered and Preferred Reporting Items Systematic and Meta-Analyses (PRISMA)-guided systematic review and meta-analysis. It examines cloud-based personal health records and factors such as data security, efficiency, privacy and cost-based measures. It is a meta-analysis of twelve relevant axes encompassing performance, cryptography and parameters based on efficiency (runtimes, key generation times), security (access policies, encryption, decryption) and cost (gas). This aims to generate a basis for further research, a GPOC sandbox model, and a possible construction of a global platform. This area lacks standard and shows marked heterogeneity. A consensus within this field would be beneficial to the development of a GPOC. A GPOC could spark the development and global dissemination of artificial intelligence in healthcare.
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.