Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation

@inproceedings{Morley2014DefiningDP,
  title={Defining Disease Phenotypes Using National Linked Electronic Health Records: A Case Study of Atrial Fibrillation},
  author={Katherine I Morley and J. Lightsey Wallace and Spiros C. Denaxas and Ross Jacob Hunter and Riyaz S. Patel and Pablo Perel and Anoop Dinesh Shah and Adam David Timmis and Richard John Schilling and Harry Hemingway},
  booktitle={PloS one},
  year={2014}
}
BACKGROUND National electronic health records (EHR) are increasingly used for research but identifying disease cases is challenging due to differences in information captured between sources (e.g. primary and secondary care). Our objective was to provide a transparent, reproducible model for integrating these data using atrial fibrillation (AF), a chronic condition diagnosed and managed in multiple ways in different healthcare settings, as a case study. METHODS Potentially relevant codes for… CONTINUE READING