ReviewJournal of the American Medical Informatics Association : JAMIA
Privacy preserving interactive record linkage (PPIRL).
Review in Journal of the American Medical Informatics Association : JAMIA. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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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.
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Who cites it
17 citing papers in PubMed.
- Data linkage multiplies research insights across diverse healthcare sectors.Communications medicine · 2025Review
- Article
- Assessing the impact of privacy-preserving record linkage on record overlap and patient demographic and clinical characteristics in PCORnet®, the National Patient-Centered Clinical Research Network.Journal of the American Medical Informatics Association : JAMIA · 2023Article
- A Bayesian approach to correct the under-count of cancer registry statistics before population-based cancer registry program.Gastroenterology and hepatology from bed to bench · 2023Article
- Identifying and prioritizing benefits and risks of using privacy-enhancing software through participatory design: a nominal group technique study with patients living with chronic conditions.Journal of the American Medical Informatics Association : JAMIA · 2021Article
- Linkage of Australian national registry data using a statistical linkage key.BMC medical informatics and decision making · 2021Article
- Using administrative health data for palliative and end of life care research in Ireland: potential and challenges.HRB open research · 2021Article
- CIDACS-RL: a novel indexing search and scoring-based record linkage system for huge datasets with high accuracy and scalability.BMC medical informatics and decision making · 2020Article
- Big Data Privacy in Biomedical Research.IEEE transactions on big data · 2020Article
- Tools and Methods for Real-World Evidence Generation: Pragmatic Trials, Electronic Consent, and Data Linkages.Rheumatic diseases clinics of North America · 2019Review
- Probabilistic record linkage of de-identified research datasets with discrepancies using diagnosis codes.Scientific data · 2019Article
- Enhancing diversity to reduce health information disparities and build an evidence base for genomic medicine.Personalized medicine · 2018Article
- Point-of-contact Interactive Record Linkage (PIRL): A software tool to prospectively link demographic surveillance and health facility data.Gates open research · 2017Article
- Big data in medicine is driving big changes.Yearbook of medical informatics · 2014Review
- Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.Yearbook of medical informatics · 2014Review
- Designing an algorithm to preserve privacy for medical record linkage with error-prone data.JMIR medical informatics · 2014Article
- SOEMPI: A Secure Open Enterprise Master Patient Index Software Toolkit for Private Record Linkage.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveRecord linkage to integrate uncoordinated databases is critical in biomedical research using Big Data. Balancing privacy protection against the need for high quality record linkage requires a human-machine hybrid system to safely manage uncertainty in the ever changing streams of chaotic Big Data.
methodsIn the computer science literature, private record linkage is the most published area. It investigates how to apply a known linkage function safely when linking two tables. However, in practice, the linkage function is rarely known. Thus, there are many data linkage centers whose main role is to be the trusted third party to determine the linkage function manually and link data for research via a master population list for a designated region. Recently, a more flexible computerized third-party linkage platform, Secure Decoupled Linkage (SDLink), has been proposed based on: (1) decoupling data via encryption, (2) obfuscation via chaffing (adding fake data) and universe manipulation; and (3) minimum information disclosure via recoding.
resultsWe synthesize this literature to formalize a new framework for privacy preserving interactive record linkage (PPIRL) with tractable privacy and utility properties and then analyze the literature using this framework.
conclusionsHuman-based third-party linkage centers for privacy preserving record linkage are the accepted norm internationally. We find that a computer-based third-party platform that can precisely control the information disclosed at the micro level and allow frequent human interaction during the linkage process, is an effective human-machine hybrid system that significantly improves on the linkage center model both in terms of privacy and utility.
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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.