Methods for enhancing the reproducibility of biomedical research findings using electronic health records.
- Spiros Denaxas,
- Kenan Direk,
- Arturo Gonzalez-Izquierdo,
- Maria Pikoula,
- Aylin Cakiroglu,
- Jason Moore,
- Harry Hemingway,
- Liam Smeeth
BioData Min 2017 11;10:31. Epub 2017 Sep 11.
EHR Research Group, Department of Non-communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, Keppel Streeet, London, WC1E 7HT UK.
Background: The ability of external investigators to reproduce published scientific findings is critical for the evaluation and validation of biomedical research by the wider community. However, a substantial proportion of health research using electronic health records (EHR), data collected and generated during clinical care, is potentially not reproducible mainly due to the fact that the implementation details of most data preprocessing, cleaning, phenotyping and analysis approaches are not systematically made available or shared. With the complexity, volume and variety of electronic health record data sources made available for research steadily increasing, it is critical to ensure that scientific findings from EHR data are reproducible and replicable by researchers. Read More