CEG address-matching algorithm selected by HDR UK Impact Committee
The paper ‘Evaluation of the ASSIGN open-source deterministic address-matching algorithm for allocating Unique Property Reference Numbers to general practitioner-recorded patient addresses’ has been selected by the HDR UK Impact Committee as having significant impact and clearly demonstrating the value of uniting the UK’s health data to make discoveries that improve people’s lives. The committee meets monthly to select research outputs put forward by research directors, researchers, and other members of the HDR UK community.
Published:
More information
- Research: ‘Evaluation of the ASSIGN open-source deterministic address-matching algorithm for allocating Unique Property Reference Numbers to general practitioner-recorded patient addresses.’ Gill Harper, David Stables, Paul Simon, Zaheer Ahmed, Kelvin Smith, John Robson and Carol Dezateux. International Journal of Population Data Science.
- HDR UK case study (links to HDR UK website).
- 'ASSIGN: An algorithm to study how health is impacted by where we live' - More about the algorithm and what CEG researchers plan to use it for.
- For media information, contact: press@qmul.ac.uk