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The Trusted Data Linkage Service provides a robust framework for linking various healthcare datasets including HES, PROMS, ONS, MHMDS, and Cancer registers. Serving universities, NHS, governmental bodies, and commercial entities, we facilitate informed decision-making and resource allocation. Our advanced linkage algorithms utilize NHS numbers, date of birth, sex, and postcode to ensure accuracy. Whether employing deterministic or probabilistic methods, we strive to deliver efficient and reliable data integration for meaningful research outcomes.
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Trusted Data linkage Service • Data • HES, PROMS, ONS, MHMDS, Cancer • Customers • Universities, NHS, research, government, commercial • DCLG – Homelessness • The Nuffield Trust – Person based resource allocation • Dept. for Transport – STATS19 • IMS – Hospital prescribing data • GPRD, CSDMR, QResearch – GP data linkage
Linkage algorithms • Fields used: • NHS number • Date of birth • Sex • Postcode • (Names)
Deterministic vs. probabilistic • Probabilistic • Very processor intensive – HESID index availability • Expensive • Useful when things are similar • NHS numbers are exact • Deterministic • Efficient • Cheaper • Less accurate? • Algorithm accounts for most common keying error
