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A group of researchers led by , a Deputy Director of the ÂÒÂ×Ðã Institute of Health Informatics, have had their paper on the Ìýpublished in .Ìý

The group (,ÌýÌýÌý,ÌýÌýÌýÌýÌýÌýÌýÌýÌýÌýÌý&Ìý)Ìýdeveloped an iterative and collaborative approach for creating and validating rule-based electronic health records (EHR) phenotyping algorithms using UK structured EHR. ThisÌýapproach involved expert review interwoven with data exploration and analysis. Such anÌýalgorithm translates the clinical requirements for a particular patient to be considered a case into queries that leverage EHR sources stored in a relational database and extracts disease onset, severity, and subtype information. The paper describes the platform, the algorithm development process, and validation consisting of sixÌýapproaches of evidence.

Using the CALIBER phenotyping framework, the group created algorithms for 51 diseases, syndromes, biomarkers and lifestyle risk factors.ÌýThe EHR phenotypes are curated in the open-access Ìýand have been used by 40 national and international research groups in 60 peer-reviewed publications.

This paper descirbes a UK EHR phenomics approach within the CALIBER EHR data platform with initial evidence of validity and use, as an important step toward international use of UK EHR data for health research.

To read the full paper visit the .

The full citation for this paper is: Denaxas S,ÌýGonzalez-Izquierdo A,ÌýDirek K,ÌýFitzpatrick N,ÌýFatemifar G, Banerjee A,ÌýDobson R,ÌýHowe L, Kuan V,ÌýLumbers T,ÌýPasea L, Patel R, Shah A, Hingorani A, Sudlow C, and Hemingway H (2019)ÌýUK phenomics platform for developing and validating electronic health record phenotypes: CALIBER. JAMIAÌýdoi: 10.1093/jamia/ocz105