ArticleIEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology2014
PRECISE:PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare.
Article in IEEE International Conference on Systems Biology : [proceedings]. IEEE International Conference on Systems Biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- What You Need to Know Before Implementing a Clinical Research Data Warehouse: Comparative Review of Integrated Data Repositories in Health Care Institutions.JMIR formative research · 2020Review
- Big Data Privacy in Biomedical Research.IEEE transactions on big data · 2020Article
- PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension.BMC medical genomics · 2017Article
- PRINCESS: Privacy-protecting Rare disease International Network Collaboration via Encryption through Software guard extensionS.Bioinformatics (Oxford, England) · 2017Article
- SCOTCH: Secure Counting Of encrypTed genomiC data using a Hybrid approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2017Article
- Genome privacy: challenges, technical approaches to mitigate risk, and ethical considerations in the United States.Annals of the New York Academy of Sciences · 2017Review
- Secure Multi-pArty Computation Grid LOgistic REgression (SMAC-GLORE).BMC medical informatics and decision making · 2016Article
- PREMIX: PRivacy-preserving EstiMation of Individual admiXture.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
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
Abstract
Quality improvement (QI) requires systematic and continuous efforts to enhance healthcare services. A healthcare provider might wish to compare local statistics with those from other institutions in order to identify problems and develop intervention to improve the quality of care. However, the sharing of institution information may be deterred by institutional privacy as publicizing such statistics could lead to embarrassment and even financial damage. In this article, we propose a PRivacy-prEserving Cloud-assisted quality Improvement Service in hEalthcare (PRECISE), which aims at enabling cross-institution comparison of healthcare statistics while protecting privacy. The proposed framework relies on a set of state-of-the-art cryptographic protocols including homomorphic encryption and Yao's garbled circuit schemes. By securely pooling data from different institutions, PRECISE can rank the encrypted statistics to facilitate QI among participating institutes. We conducted experiments using MIMIC II database and demonstrated the feasibility of the proposed PRECISE framework.
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.