Speaker Profile
M.D., FACP, FASCO, Physician in Chief, Hartford HealthCare Cancer Institute, Hartford HealthCare
Biography
Dr. Peter Yu's expertise lies in the intersection of medical informatics, healthcare operations and public policy. While President of the American Society of Clinical Oncology, ASCO launched CancerLinq, which aggregates medical oncology data across U.S. academic and community practices, and 2 journals; JCO Global Oncology and JCO Cancer Clinical Informatics (Associate Editor). In his position as Clinical Member, Memorial Sloan Kettering Cancer Center he is on the leadership team for the strategic partnership between MSK and Hartford HealthCare whose mission is to accelerate the dissemination of knowledge from academic medical centers to community healthcare systems. Hartford HealthCare is a 7-hospital system caring for 1/3 of the Connecticut population. Dr. Yu serves on Hutchinson Institute for Cancer Outcomes Research (HICOR) Fred Hutchinson Cancer Research Center External Advisory Board, California Cancer Registry Advisory Committee, Epic Systems Adult Oncology Steering Board, and the American Joint Committee on Cancer (AJCC) Implementation Committee.
Talk
Improving Health and Economic Outcomes with AI
Structured data in the EHRs of 2806 patients who received a total of 17,513 chemotherapy treatments was aggregated and de-identified to develop a predictive algorithm for risk of chemotherapy induced febrile neutropenia. Linear, tree-based or ensemble methods were developed and a model to optimize clinical and financial outcomes using only 20 clinical features was identified.
Session Abstract – PMWC 2022 Silicon Valley
The value of data in healthcare is undeniable and realized when raw information is successfully converted into knowledge that changes clinical practice. To drive value improvements and ensure that the right patient receives the right care requires the right data in combination with the right data analytics. This session will cover various aspects and challenges of data science in hospitals and health systems that drive healthcare with better outcomes.
Sessions:
- Data Sharing Application: Needs, Advancements, and Challenges
- Russ Cucina, UCSF
- Removing Data Sharing Barriers; Expectations for the Healthcare Industry
Session Chair: Greg Storm, TripleBlind
- John Halamka, Mayo Clinic
- Bob Borek, Datavant
- Next-Generation Data Sharing: Discoverable, Accessible, Interoperable Data (PANEL)
Session Chair: John F. Kalafut, Asher Orion Group
- Joel Sevinsky, Theiagen Genomics
- Ittai Dayan, Rhino Health
- Sharmila Majumdar, UCSF
- Rajan Wadhwa, Anthem - Sustainable Data Systems via FAIR Data Principles
Session Chair: Alex Sherman, MGH
- Multi-Factor Data Science to Inform Clinical Research
Session Chair: Charlotte Nelson, MATE Bioservices
- Gundolf Schenk, UCSF - Translational AI: Innovation to Clinical Implementation and Reimbursement (PANEL)
Session Chair: John J. Sninsky, Translational Consultant
- Erick Lin, PathAI
- Nigam Shah, Stanford
- Shivang Doshi, Paige - Leveraging Multiomic Data to Advance Rare Disease Drug Discovery and Development (PANEL)
Session Chair: Justin Bingham, CENTOGENE
- Michael Hund, EB Research Partnership - AI/ML in Hospitals and Clinics / Digital Health Transformation / Predicting Clinical Outcomes
Session Chair: Robert Hauser, Vidence
- Alan Kaplan, LLNL
- Peter Yu, Hartford Healthcare
- Amir Bahmani, Stanford
- Data Science for Proteogenomics of Cancers
- Gil Omenn, University of Michigan
- PMWC 2022 Showcase
- Amanda Cook, InheRET, Inc.
- Calum Macrae, Harvard
