ReviewYearbook of medical informatics2018
Between Access and Privacy: Challenges in Sharing Health Data.
Review in Yearbook of medical informatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Mapping ethical issues in the use of smart home health technologies to care for older persons: a systematic review.BMC medical ethics · 2023Pooled it
- Operationalizing transparency regarding the use of health data for research: a cross-sectional survey of citizens' perspectives.BMC public health · 2026Article
- Body Biofluids for Minimally-Invasive Diagnostics: Insights, Challenges, Emerging Technologies, and Clinical Potential.Advanced healthcare materials · 2026Review
- Explainable deep learning approaches and clinical insights for cancer biomarker identification.Frontiers in oncology · 2026Review
- AI-driven virtual cell models in preclinical research: technical pathways, validation mechanisms, and clinical translation potential.NPJ digital medicine · 2025Review
- CRoP: Context-wise Robust Static Human-Sensing Personalization.Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies · 2025Article
- AI-driven biomarker discovery: enhancing precision in cancer diagnosis and prognosis.Discover oncology · 2025Article
- Artificial Intelligence in Medical Education: Promise, Pitfalls, and Practical Pathways.Advances in medical education and practice · 2025Article
- Using UMAP for Partially Synthetic Healthcare Tabular Data Generation and Validation.Sensors (Basel, Switzerland) · 2024Article
- Article
- Overcoming ethical and legal obstacles to data linkage in health research: stakeholder perspectives.International journal of population data science · 2023Article
- Machine learning generalizability across healthcare settings: insights from multi-site COVID-19 screening.NPJ digital medicine · 2022Article
- Cardiovascular informatics: building a bridge to data harmony.Cardiovascular research · 2022Review
- Sharing biological data: why, when, and how.FEBS letters · 2021Article
- The End of Genetic Privacy in the Blade Runner Canon.Journal of literature and science · 2021Article
- Ethics in Health Informatics.Yearbook of medical informatics · 2020Article
- Privacy-preserving architecture for providing feedback to clinicians on their clinical performance.BMC medical informatics and decision making · 2020Article
- Using the electronic health record for genomics research.Current opinion in lipidology · 2020Review
- Artificial intelligence manages congenital cataract with individualized prediction and telehealth computing.NPJ digital medicine · 2020Article
- A Ledger of Me: Personalizing Healthcare Using Blockchain Technology.Frontiers in medicine · 2019Review
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
objectiveTo summarize notable research contributions published in 2017 on data sharing and privacy issues in medical informatics.
methodsAn extensive search of PubMed/Medline, Web of Science, ACM Digital Library, IEEE Xplore, and AAAI Digital Library was conducted to uncover the scientific contributions published in 2017 that addressed issues of biomedical data sharing, with a focus on data access and privacy. The selection process was based on three steps: (i) a selection of candidate best papers, (ii) the review of the candidate best papers by a team of international experts with respect to six predefined criteria, and (iii) the selection of the best papers by the editorial board of the Yearbook Results: Five best papers were selected. They cover the lifecycle of biomedical data collection, use, and sharing. The papers introduce 1) consenting strategies for emerging environments, 2) software for searching and retrieving datasets in organizationally distributed environments, 3) approaches to measure the privacy risks of sharing new data increasingly utilized in research and the clinical setting (e.g., genomic), 4) new cryptographic techniques for querying clinical data for cohort discovery, and 5) novel game theoretic strategies for publishing summary information about genome-phenome studies that balance the utility of the data with potential privacy risks to the participants of such studies.
conclusionThe papers illustrated that there is no one-size-fitsall solution to privacy while working with biomedical data. At the same time, the papers show that there are opportunities for leveraging newly emerging technologies to enable data use while minimizing privacy risks.
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.