Building Scalable Data Products: Lessons from Tech to Healthcare

Newfire Marketing

Jan 16, 2025 | 3 min read

AI / ML Digital Health Product Development

Building Scalable Data Products: Lessons from Tech to Healthcare

Healthcare’s digital transformation is in full swing, yet many organizations are still grappling with legacy systems, data silos, and compliance complexities. How can the industry unlock the full potential of its data to deliver better patient outcomes and operational efficiencies?

In the latest episode of “Hard Problems, Smart Solutions: The Newfire Podcast,” Gordon Wong, Vice President of Data and AI at Newfire, sits down with Sandeep Dhamale, Director of Engineering, Data and Intelligence at the American Medical Association. Together, they explore how healthcare organizations can overcome data challenges, achieve interoperability, and measure the ROI of their data efforts.

Drawing from Sandeep’s experience leading transformative projects like Datalabs GPT and the AMA Intelligent Platform, the conversation is packed with actionable insights for healthcare leaders striving to modernize their data infrastructure.

Listeners will gain valuable strategies to:

Consolidate siloed data for better unification and governance.
Build scalable, flexible data infrastructures that prepare for future growth.
Identify ROI through cost reduction and revenue-generating use cases.
Balance innovation with security and compliance priorities.
Leverage AI for actionable insights and operational improvements.

When you think of building a unified data infrastructure, start by identifying your total cost of ownership for siloed systems. Then, map out your transition to a target vision—this will almost always decrease costs and risks.

Sandeep Dhamale, Director of Engineering, Data and Intelligence at the American Medical Association

Ready to transform your healthcare data strategy? Don’t miss this episode. Tune in to learn how to bridge the gap between data challenges and opportunities in healthcare.

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Chapters:

00:00 Introduction to Hard Problems, Smart Solutions
00:21 Meet Sandeep Dhamale: From Fintech to Healthcare
04:26 Challenges in Healthcare Data Management
06:40 Measuring ROI in Healthcare Data Efforts
12:11 The AMA Intelligent Platform
20:58 AI and the Future of Data in Healthcare
28:51 Security and Maintainability in Data Platforms
35:50 Closing Thoughts and Future Trends
44:12 Final Remarks

Background on Speakers

Sandeep Dhamale

Sandeep is the Director of Engineering, Data and Intelligence at the American Medical Association, where he has led projects such as Datalabs GPT and the AMA Intelligent Platform. Previously, he held leadership roles at FIS and SunGard, where he spearheaded large-scale enterprise platform transformations, focusing on scalable architecture and innovative solutions for fintech and capital markets. With a background in fintech and healthcare, Sandeep brings unique expertise in creating scalable, secure data platforms. He is passionate about solving data fragmentation and compliance challenges to unlock value in healthcare.

Gordon Wong

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.