MedCity News: Smarter population health—powered by the smartphones we already carry

In my recent article for MedCity News, I explore how AI-enabled smartphones are emerging as powerful tools to scale population health management — offering a smarter, more cost-effective alternative to traditional remote patient monitoring (RPM).

With advanced sensors and on-device AI, smartphones can passively collect vital health signals and behavioral data, transforming how we monitor, detect, and intervene across diverse patient populations. This approach holds particular promise for reaching those who’ve historically been left behind in the shift to value-based care.

Key takeaways:

• Smartphones enable RPM without the kits. On-device sensors can now track cognition, mobility, mood, adherence, and vital signs—removing the need for expensive hardware.
• Continuous data supports proactive care. AI models detect early changes in health status, allowing clinicians to intervene before a crisis occurs.
• It’s scalable, affordable, and equitable. Mobile-first health monitoring reduces cost barriers and expands access across rural, low-income, and underserved populations.
• Real-world data drives real-world impact. Continuous, longitudinal data collected at scale can support both care decisions and public health strategy.

By tapping into the technology patients already use daily, we can finally make precision population health practical to improve outcomes while reducing costs.

Read the full article in MedCity News.