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AI-Driven Healthcare: Moving Beyond Analytics to Actionable Insights

AI / ML Data & Analytics Digital Health Healthcare
AI-Driven Healthcare: Moving Beyond Analytics to Actionable Insights

Artificial intelligence’s exact role in healthcare transformation is still taking shape. Will AI directly impact care delivery? Should it instead focus on relieving administrative strain? Tech company leaders want to offer solutions to a burdened system, but the perfect target for their investments still seems elusive.

In the inaugural episode of the Newfire Podcast, Emily Lindemer, Executive Director of Data and Healthcare Innovation at JPMorgan Chase & Co., joins Gordon Wong, Newfire’s Head of Data and AI, to explore today’s most urgent questions about AI in healthcare. They share insights and guidance on topics such as:

  • Targeting healthcare areas where AI can deliver real impact.
  • Assessing data infrastructure and technical readiness for successful AI product development.
  • Determining where AI can be implemented with fewer compliance hurdles
  • Approaching the right decision-makers with new AI-driven offerings.

If you're planning to build and sell an AI product, it's crucial to consider whether your customers have the technical infrastructure to support it. Do they have the necessary data? Right now, that’s often not the case in healthcare. Many health systems are only just migrating to the cloud and lack the tools to load their data into an AI algorithm to get meaningful answers.

Emily Lindemer, Executive Director of Data and Healthcare Innovation at JPMorgan Chase & Co

 

Listen to the conversation for pragmatic, actionable advice on bringing AI to healthcare—and learn where you can make the biggest difference.

Chapters:

  • 00:00  Introduction to Hard Problems, Smart Solutions
  • 00:36  Meet Emily Lindemer: AI and Healthcare Innovator
  • 01:57  AI’s Role in Healthcare Transformation
  • 05:35  Administrative vs. Clinical AI Applications
  • 08:41  Challenges and Opportunities in AI Implementation
  • 17:03  Future of AI in Healthcare
  • 24:20 Final Thoughts and Takeaways
  • 27:57  Conclusion and Next Steps

 

Background on Speakers

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Emily Lindemer, Executive Director of Data and Healthcare Innovation at Morgan Health

Emily is the Executive Director of Data and Healthcare Innovation at Morgan Health, a division of JPMorgan Chase & Co. In this role, she co-leads the data team, focusing on developing data infrastructure and identifying data-driven opportunities to support new pilots and investments. Emily collaborates closely with Morgan Health leadership and JPMorgan Chase's internal technology partners to craft a long-term data strategy aimed at scaling the organization through data.  Prior to her current position, Emily held data leadership roles at IBM Watson Health, Wellframe, and Cityblock Health, where she built healthcare data infrastructures and led data science and analytics teams. Emily earned her PhD from the Harvard-MIT Division of Health Sciences and Technology and has authored numerous publications on applying machine learning and data science to healthcare. She is passionate about teaching and has served as an instructor at MIT, Udacity, and Girls Who Code.

Gordon Wong, Vice President of Data and AI at Newfire Global Partners

With over three decades of experience in data warehousing, analytics, and leadership, Gordon has held prominent positions at companies such as Fitbit, HubSpot, Cityblock Health, TripAdvisor, and ActBlue. He has led data and business intelligence departments, advised on high-level strategy, and was an early adopter of technologies like Snowflake, Redshift, Looker, and dbt.  Known for his collaborative and emotionally intelligent leadership style, Gordon focuses on empowering teams and driving business growth through data-driven decisions. At Newfire Global Partners, he leads the Data & AI Practice, ensuring top-tier training and development for data and analytics teams, and helps clients leverage data for enhanced decision-making and optimized data platform investments.

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