T
Tim Williams
Researcher at Medicines and Healthcare Products Regulatory Agency
Publications - 23
Citations - 1002
Tim Williams is an academic researcher from Medicines and Healthcare Products Regulatory Agency. The author has contributed to research in topics: Data quality & Health care. The author has an hindex of 10, co-authored 23 publications receiving 848 citations.
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Journal ArticleDOI
Recent advances in the utility and use of the General Practice Research Database as an example of a UK Primary Care Data resource
TL;DR: The GPRD has undergone many changes but remains the largest validated and most utilised primary care database in the UK and its use in pharmacoepidemiology stretches back many years with now over 800 original research papers.
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Construction and validation of a scoring system for the selection of high-quality data in a Spanish population primary care database (SIDIAP)
M Del Mar García-Gil,Eduardo Hermosilla,Daniel Prieto-Alhambra,Francesc Fina,Magdalena Rosell,Rafel Ramos,Jordi Rodríguez,Tim Williams,Tjeerd van Staa,Bonaventura Bolíbar +9 more
TL;DR: The usefulness of rate comparison as a valid method to establish research-usable data within primary care electronic medical records is reported.
Journal ArticleDOI
Potentially inappropriate prescribing among older people in the United Kingdom.
Marie C. Bradley,Nicola Motterlini,Shivani Padmanabhan,Caitriona Cahir,Tim Williams,Tom Fahey,Carmel Hughes +6 more
TL;DR: Application of the comprehensive set of STOPP criteria allowed more accurate estimation of PIP compared to the subset of criteria used in previous studies, and may provide a focus for targeted interventions to reduce PIP.
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Exploiting the potential of large databases of electronic health records for research using rapid search algorithms and an intuitive query interface
A Rosemary Tate,Natalia Beloff,Balques Al-Radwan,Joss Wickson,Shivani Puri,Tim Williams,Tjeerd van Staa,Tjeerd van Staa,Tjeerd van Staa,Adrian Bleach +9 more
TL;DR: An online user-focused system, underpinned by an innovative search algorithm, which enables users interactively to select suitable medical general practices based on two criteria: suitability of the patient base for the intended study (phenotyping) and measures of data quality.
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Optimising the use of electronic health records to estimate the incidence of rheumatoid arthritis in primary care: what information is hidden in free text?
Elizabeth Ford,Amanda Nicholson,Amanda Nicholson,Rob Koeling,A Rosemary Tate,John M. Carroll,Lesley Axelrod,Helen Smith,Greta Rait,Kevin A. Davies,Irene Petersen,Tim Williams,Jackie Cassell +12 more
TL;DR: Potential cases may be missed or wrongly dated when coded data alone are used to identify patients with rheumatoid arthritis, as diagnostic suspicions are frequently confined to text.