Collecting information on the quality of prescribing in primary care using semi-automatic data extraction from GPs’ electronic medical records

Hans Vandenberghe; Viviane Van Casteren; P. Jonckheer; Hilde Bastiaens; Johan Van der Heyden; Marie‐France Lafontaine; De Clercq Erik

doi:10.1016/j.ijmedinf.2005.02.004

Related publications

Article2015

The impact of electronic health records and teamwork on diabetes care quality.

Ilana Graetz, Jie Huang, Richard Brand, Stephen M Shortell, Thomas G. Rundall, Jim Bellows, John Hsu, Marc G. Jaffe, Mary Reed

Article2020

Building longitudinal medication dose data using medication information extracted from clinical notes in electronic health records

Elizabeth McNeer, Cole Beck, Hannah L. Weeks, Michael L. Williams, Nathan T. James, Adrian Bejan, Leena Choi

Journal of the American Medical Informatics Association

Article2019

Temporal trends in severe obesity prevalence in children and youth from primary care electronic medical records in Ontario: a repeated cross-sectional study

Sarah Carsley, Eliza Pope, Laura N. Anderson, Mark S. Tremblay, Karen Tu, Catherine S. Birken

CMAJ Open

Chapter in a book2006

A Decision Tree Framework for Semi-Automatic Extraction of Product Attributes from the Web

Lior Rokach, Roni Romano, Barak Chizi, Oded Maimon

Preprint2025

Impact of structured medication reviews on prescribing in English Primary Care: a nationwide observational cohort study

James P Sheppard, Paul Bateman, Cynthia Wright, Christopher E Clark, Rebecca Barnes, Andrew Clegg, Gary A. Ford, Seema Gadhia, William Hinton, Richard Hobbs, Sundus Jawad, Professor Gregory Lip, Simon de Lusignan, Jonathan Mant, Deborah McCahon, Bernardo Meza-Torres, Rupert Payne, Rafael Perera, Claire Reidy, Anna Seeley, Samuel Seidu, Katherine L. Tucker, R. van Veen,