Deepika
Katake
Lead Software Engineer at Biofourmis
"Predictive Care at Scale: How RPM and AI Are Rewriting the Rules of Health"
"Predictive Care at Scale: How RPM and AI Are Rewriting the Rules of Health"
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Session: Predictive Care at Scale: How RPM and AI Are Rewriting the Rules of Health
Healthcare is entering a new era where care moves from reactive to predictive, powered by AI driven Remote Patient Monitoring (RPM). In this session, I will explore how scalable RPM systems are transforming patient outcomes, reducing hospital readmissions, and enabling continuous, personalized care.Attendees will gain actionable insights from real - world implementations, including how to overcome challenges in data integration, interoperability, and patient engagement. I will share practical strategies for scaling predictive care across startups and enterprise health systems, demonstrating how technology can anticipate health issues before they arise, improve clinical workflows, and drive measurable impact.
This talk combines innovation, strategy, and leadership, giving engineers, executives, and healthtech innovators a clear framework to harness AI responsibly, scale RPM effectively, and lead the next wave of digital health transformation.
Key Takeaways
- Understand how AI powered Remote Patient Monitoring (RPM) transforms healthcare from reactive to predictive, improving patient outcomes and reducing hospital readmissions.
- Learn practical strategies to scale RPM solutions in startups and enterprise health systems while maintaining interoperability and patient trust.
- Discover how to integrate real-time patient data into actionable insights, enabling clinicians and healthcare teams to make informed decisions faster.
- Gain insights on overcoming implementation challenges, including data privacy, workflow adoption, and technology integration in real-world settings.
- Explore frameworks for leading innovation in digital health, combining technical expertise with human-centered care to drive measurable impact.
Bio
Deepika Katake is a health tech and remote patient monitoring engineer specializing in AI driven, scalable healthcare systems. She designs platforms that transform patient outcomes by integrating real-time data, predictive analytics, and innovative digital workflows. Passionate about bridging technology and human care, she has led initiatives that demonstrate measurable impact in both startups and enterprise health systems.