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Session Summary

Obtaining computed phenotypes, Implementation of Natural Language Processing (NLP) and the use of learning algorithms with applications for directing the phenotyping workflow are discussed during this session.

 

 

Presenters (4)

 

 

Victor Castro

Corporate Team Lead II

Partners HealthCare

 

 

 

 

James Cimino, MD

Director, Informatics Institute

University of Alabama at Birmingham

 

 

 

 

Vivian Gainer

Corporate Manager

Partners HealthCare

 

 

 

 

Ken Mandl, MD, MPH

Director, Computational Health Informatics Program

Boston Children's Hospital

Professor of Biomedical Informatics

Harvard Medical School

 

 

 

Presentations (3)

 

Presentation 1: High-throughput Population Phenotyping

Presenter(s): Victor Castro and Vivian Gainer


    • High-quality computed phenotype
    • Partners Biobank
    • Phenotyping the biobank population
    • High-throughput phenotype training

 

 

 

 

Presentation 2: i2b2 Development at UAB (UABi2b2)

Presenter(s): James Cimino, MD

 

    • Automatic IRB approval for limited data sets
    • UAB Learning System
    • i2b2 incremental updates
    • Infobuttons for i2b2 (i3b3 plug-in)

 

 

 

Presentation 3: Data Fusion in Phenotypes EHR, Registry, PRO

Presenter(s): Ken Mandl, MD, MPH

    • More common phenotypes in Non-Registry
    • More common phenotypes in Registry
    • C3-PRO: Connecting ResearchKit to the Health System Using i2b2 and FHIR

 

 

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Events EV