Transforming and evaluating electronic health record disease phenotyping algorithms using the OMOP common data model: a case study in heart failure.
Vaclav PapezMaxim MoinatStefan PayralbeFolkert W. AsselbergsR Thomas LumbersHarry HemingwayRichard James Butler DobsonSpiros DenaxasPublished in: JAMIA open (2021)
Our study demonstrated that the OMOP CDM can successfully be applied to convert EHR linked across multiple healthcare settings and represent phenotyping algorithms spanning multiple sources. Similar to previous research, challenges mapping primary care prescriptions and laboratory measurements still persist and require further work. The use of OMOP CDM in national UK EHR is a valuable research tool that can enable large-scale reproducible observational research.
Keyphrases
- electronic health record
- primary care
- heart failure
- machine learning
- healthcare
- clinical decision support
- high throughput
- adverse drug
- deep learning
- quality improvement
- left ventricular
- big data
- atrial fibrillation
- artificial intelligence
- mass spectrometry
- cardiac resynchronization therapy
- health information
- single cell