Research use of linked health data — a best practice protocol
By C. Kelman, A. J. Bass, C. Holman. Australian and New Zealand Journal of Public Health, 2002
479 citations recorded by the source corpus.
Subfields: Health Information Management, Management Science and Operations Research, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/955c86855f16a90f93564f8b6064d82e33f57fd2
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The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Health Information Management
In Management Science and Operations Research
- R. Schnell
- Peter Christen
- Tobias Bachteler
- Jörg Reiher
- Harvey Goldstein
- Dinusha Vatsalan
- Vassilios S. Verykios
- Luca Bonomi
In Sociology and Political Science
Citations in the corpus
- A Novel Error-Tolerant Anonymous Linking Code (2011, background): “The first involves the use of a highly reliable data trustee [5,6].”
- A taxonomy of privacy-preserving record linkage techniques (2013, unknown): “Linked health databases can also be used to develop health policies in a more efficient and effective way compared to the use of small-scale and time-consuming survey studies which traditionally have been used for this purpose [22,23].”
- A Survey of Indexing Techniques for Scalable Record Linkage and Deduplication (2012, background): “In the health sector, for example, matched data can contain information that is required to improve health policies, information that traditionally has been collected with time consuming and expensive survey methods [2], [3].”
- Febrl: a freely available record linkage system with a graphical user interface (2008, methodology): “In recent years, the importance of health record linkage has been recognised in Australia with the inclusion of Population Health and Clinical Data Linkage as one of twelve capability areas within the federal government's National Collaborative Research Infrastructure Strategy (NCRIS), 1 and the est”
- Data Matching (2012, background): “Various countries have successfully set-up such institutional data matching units and corresponding matching protocols [161].”
- Privacy-Preserving Data Linkage and Geocoding: Current Approaches and Research Directions (2006, background): “Some of these methods offer only partial privacy protection [8] or restrict the way linkage can be performed [7], while other methods are limited to exact matching only [12].”
- Challenges in administrative data linkage for research (2017, background): “…analysis processes is considered as best practice for confidentiality, meaning that those conducting the linkage (often a ‘trusted third party’) only have access to a set of identifiers, whilst those analysing the linked data only have access to de-identified attribute data (Kelman et al., 2002).”