Session ID: 
MLAI09

Cognitive Computing and Real-World Data in a Breast Cancer Clinic

11:20am - 11:40am Monday, February 11
Orlando - Rosen Centre
Rosen Centre Jr. Ballroom F

Description

The Breast Cancer Division of the John Theurer Cancer Center at Hackensack University Medical Center has been piloting a novel cognitive computing platform that provides point-of-care treatment recommendations based on electronic health record data. The platform has been updated to incorporate real world outcomes on patients with similar demographic and disease characteristics to allow oncologists to compare potential treatment strategies. 
In this session, speakers will share lessons learned from this pilot and the potential influence of this platform on regimen selection, as well as its use in developing value-based payment models.

Learning Objectives
• Describe the key features of a cognitive computing system applicable to oncology, contrasting with search and retrieve computing platforms (and other medical information sources).
• List "real world data" attributes that are important in clinical decision making, and highlight potential pitfalls.
• Judge the concordance of a cognitive computing platform treatment recommendations to recommendations provided by disease specific experts in a breast cancer clinic and treatments actually delivered in a real world observational database.

This session is part of a special program called HIMSS19 Machine Learning & AI for Healthcare. Extra fees and separate registration is required.

Speaker(s): 

Chief Innovation Officer,
Hackensack Meridian Health
Chief, Division of Breast Oncology,
John Theurer Cancer Center At Hackensack Universit

Audience: 

CIO, CTO
Chief Quality, Chief Clin Transformation Officer
CMIO/CMIO

Level: 

Intermediate