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.
• 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.