ArticleJournal of the American Medical Informatics Association : JAMIA2013
SHARE: system design and case studies for statistical health information release.
Article in Journal of the American Medical Informatics Association : JAMIA, 2013. 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
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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.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Clinical research data warehouse governance for distributed research networks in the USA: a systematic review of the literature.Journal of the American Medical Informatics Association : JAMIAPooled it
- Why don't we share data and code? Perceived barriers and benefits to public archiving practices.Proceedings. Biological sciences · 2022Article
- Differential privacy in health research: A scoping review.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- EXpectation Propagation LOgistic REgRession on permissioned blockCHAIN (ExplorerChain): decentralized online healthcare/genomics predictive model learning.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Privacy Policy and Technology in Biomedical Data Science.Annual review of biomedical data science · 2018Article
- A multi-institution evaluation of clinical profile anonymization.Journal of the American Medical Informatics Association : JAMIA · 2016Article
- PRECISE:PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare.IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology · 2014Article
- "Big data" and the electronic health record.Yearbook of medical informatics · 2014Review
- Ensuring privacy in the study of pathogen genetics.The Lancet. Infectious diseases · 2014Review
- Differentially private distributed logistic regression using private and public data.BMC medical genomics · 2014Article
- Privacy preserving RBF kernel support vector machine.BioMed research international · 2014Article
- Biomedical data privacy: problems, perspectives, and recent advances.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- pSCANNER: patient-centered Scalable National Network for Effectiveness Research.Journal of the American Medical Informatics Association : JAMIAArticle
- Data governance requirements for distributed clinical research networks: triangulating perspectives of diverse stakeholders.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
objectivesWe present SHARE, a new system for statistical health information release with differential privacy. We present two case studies that evaluate the software on real medical datasets and demonstrate the feasibility and utility of applying the differential privacy framework on biomedical data. MATERIALS AND
methodsSHARE releases statistical information in electronic health records with differential privacy, a strong privacy framework for statistical data release. It includes a number of state-of-the-art methods for releasing multidimensional histograms and longitudinal patterns. We performed a variety of experiments on two real datasets, the surveillance, epidemiology and end results (SEER) breast cancer dataset and the Emory electronic medical record (EeMR) dataset, to demonstrate the feasibility and utility of SHARE.
resultsExperimental results indicate that SHARE can deal with heterogeneous data present in medical data, and that the released statistics are useful. The Kullback-Leibler divergence between the released multidimensional histograms and the original data distribution is below 0.5 and 0.01 for seven-dimensional and three-dimensional data cubes generated from the SEER dataset, respectively. The relative error for longitudinal pattern queries on the EeMR dataset varies between 0 and 0.3. While the results are promising, they also suggest that challenges remain in applying statistical data release using the differential privacy framework for higher dimensional data.
conclusionsSHARE is one of the first systems to provide a mechanism for custodians to release differentially private aggregate statistics for a variety of use cases in the medical domain. This proof-of-concept system is intended to be applied to large-scale medical data warehouses.
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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.