Databricks at HIMSS23
Learn why the best data warehouse is a lakehouse – stop by and say hi!
Meet us at our lakehouse
Talk directly to our data and AI experts at our booth to discuss your data challenges and learn how the Databricks Lakehouse for Healthcare and Life Sciences empowers you to reimagine the future of healthcare. Discover how the Databricks Lakehouse is the only enterprise data platform that allows you to leverage all your data in real time — from any source, on any workload — to reduce TCO and increase innovation (with the best performance and at the lowest cost).
Booth 6822 in Hall B, North Building
Unlock the power of data and AI
Reimagine the future of healthcare with the lakehouse
Learn how to tackle your most critical use cases with the Databricks Lakehouse for Healthcare and Life Sciences so you can modernize your data and AI capabilities and drive real-time decisions in order to personalize the patient journey, improve clinician and staff experiences, streamline operations, and create better outcomes. Get the details in this new eBook.
Explore lakehouse at our theater
Tuesday, April 18
10:30 AM
Unlocking the Power of Data: The Key to Driving Insights and Improving Patient Care
Avinob Roy, VP and GM Product Management, IQVIA
11:00 AM
Data Science and Cloud Modernization at the VA Financial Services Center (FSC) Data Analytics Service
David Fuller, Chief, Data Analytics Division, U.S. Department of Veterans Affairs
Tom Latimer, Chief, Supply Chain Division, U.S. Department of Veterans Affairs
11:30 AM
Using Databricks to Take Milliman Data Processing to the Next Level
Scott Ponder, VP Strategic Partnerships, Milliman
12:00 PM
Empowering Organizations with Databricks and Power BI
Bob Zhang, Technical Program Manager, Microsoft
12:30 PM
Unlocking All Your Healthcare Data: From BI to AI
Sanjeev Kumar, VP Engineering, Data Analytics and AI, Gainwell
1:00 PM
Automated De-identification of Medical Notes and Images Using John Snow Labs’ Healthcare NLP Library
David Talby, Chief Technology Officer, John Snow Labs
1:30 PM
Diagnosing Autism in Children 3 Years Earlier With Data and AI Is Life-Changing
Dennis Wall, Ph.D., Founder, Cognoa
2:00 PM
Tufts’ Journey to Delivering FHIR-Based Data Insights on Lakehouse
Jawad Khan, Chief Data and Analytics Officer, Tufts Medicine
2:30 PM
The Enterprise Data Platform Decision Is a Team Sport: How to Build a Champion in Your CISO
Omar Khawaja, VP, Field CISO, Databricks
3:00 PM
Comparing Databricks and Snowflake for Machine Learning (ML) in Healthcare
Michael Green, Ph.D., Senior Data Scientist, Hitachi Solutions America
3:30 PM
Breaking Down Barriers in Healthcare With AI: Tackling Inequality and Bias
Jeffrey Thompson, Chief Research Informatics Officer, University of Kansas Health System
Jake Gower, Practice Director – Data Engineering & Data Science, Technology Partners
4:00 PM
Azure Intelligent Data Platform for Healthcare Featuring Artificial General Intelligence
Austin Walsh, Managing Director, U.S. Healthcare, Data and AI, Microsoft
Wednesday, April 19
10:00 AM
Coming soon
10:30 AM
Insights Into Cloud Architecture and Remastered Healthcare Data on Lakehouse
Jeff McDonald, CEO and Co-founder, Kythera Labs
11:00 AM
Supporting Highmark Health’s Living Health Strategy With Databricks
Tony Roscoe, Director of Enterprise Data Architecture, Highmark Health
11:30 AM
Scaling Up Healthcare Data Innovations: Lessons Learned From VA’s Summit Data Platform Journey
Varoon Mathur, Senior Advisor on Data, MLOps and AI, U.S. Department of Veterans Affairs
Michael Uohara, M.D., Chief Medical Officer, Microsoft Federal
12:00 PM
Identifying Predictive Factors in Nurse Attrition With Matillion and Databricks
Mohammad Rashid, Principal Solution Architect, Optum
Greg Wheltle, Regional VP, Matillion
12:30 PM
Building a Data Management Engine: Self-Managed Analytics on Databricks
Gordon Strodel, Associate Director, Data Strategy and Operations, Takeda
Abhinav Batra, Associate Principal, Enterprise Data Management Practice Lead, ZS
1:00 PM
Data Science at Stanford Health Care
Anurang Revri, Chief Enterprise Architect, Stanford Health Care
Nikesh Kotecha, Head of Data Science, Stanford Health Care
1:30 PM
From Promise to Practice: Exploring the Realities of AI and Precision Health in General Practice
Mac Hofford, MD, Medical Director of Informatics Core Services, Washington University in St. Louis School of Medicine
Chris Lundeberg, Chief Solutions Architect, Databasin and DAI Delivery, Technology Partners
2:00 PM
iCORE Evidence-Based Medicine for Orthopedics
Kurtis Pritchard, Manager, Engineering and Analytics for Orthopedics and Spine, Health System
2:30 PM
Health Data Interoperability on the Databricks Lakehouse
Scott Love, CEO and Founder, Lovelytics
3:00 PM
Enhancing Medicare Risk Adjustment and HCC Coding Through Automated Analysis of Clinical Notes
David Talby, Chief Technology Officer, John Snow Labs
3:30 PM
Partnering With AWS to Deliver Innovative, Data-Driven Healthcare Solutions
Brian Warwick, Senior Partner Solutions Architect, HCLS, AWS
Andreas Matern, Head of Healthcare and Life Sciences Partner Technology, AWS
4:00 PM
Happy Hour! Join us at Booth 6822
Thursday, April 20
10:30 AM
Healthcare Analytics: Delivering High-Quality Analytics While Scaling Quickly
Brian Gillet, Enterprise Product Marketing Manager, dbt Labs
11:00 AM
Abacus Insights + Databricks: Driving Data Usability for Health Plans
Gokul Varadharaj, Co-founder and Vice President of Client Solutions, Abacus Insights
11:30 AM
Comparing Databricks and Snowflake for ML
Michael Green, Ph.D., Senior Data Scientist, Hitachi Solutions America
12:00 PM
Best Practices: Security and Governance on Lakehouse
Filippo Seracini, Staff Product Manager, Product, Databricks
12:30 PM
Realizing Health Lakehouse Interoperability on the Cloud
Mark Lee, Sr. Specialist Solutions Architect, Field Engineering, Databricks
1:00 PM
