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Scalable Phenotyping for Safety Outcomes Using Electronic Health Record Data

Basic Details
Date
Type
Presentation
Description

This presentation explores the process of scalable phenotyping for safety outcomes using electronic health record data. It was presented at the Forum on the Integration of Observational and Randomized Data (FIORD) workshops.

Materials

Scalable Phenotyping for Safety Outcomes Using Electronic Health Record Data

Information
Host

Forum on the Integration of Observational and Randomized Data (FIORD) workshops

Related Assessment(s)
Sentinel Methods Project: Extending Machine Learning Methods Development in Sentinel: Follow-up Analyses for Anaphylaxis Algorithm and Formalization of a General Phenotyping Framework (Phase 3)
A General Framework for Developing Computable Clinical Phenotype Algorithms
Finding Uncoded Anaphylaxis in Electronic Health Records to Estimate the Sensitivity of ICD10 Codes
Presenter(s)

Brian D. Williamson