The week in health tech, explained in plain English.Get the free newsletter →
October 24, 2026

Takeaways from the most recent news in the technology and policies shaping healthcare.

Health IT

Google Turns the Smartphone Camera Into a Heart Rate Sensor

Google researchers have developed a system that passively measures heart rate and resting heart rate using a smartphone's front-facing camera, according to Becker's Hospital Review. The system, called passive heart rate monitoring, or PHRM, captures eight-second facial video clips in the moments right after a user unlocks their phone with face recognition. An on-device deep learning pipeline then estimates heart rate from those clips.

The approach is notable because it requires no wearable, no dedicated app session, and no deliberate action from the user. The measurement happens in the background during routine phone use, and the processing stays on the device rather than going to the cloud.

PHRM fits a broader push to turn consumer hardware people already own into passive health sensors. The technique relies on subtle skin color changes tied to blood flow, the same principle behind camera-based vital-sign methods. For now it is research, not a cleared medical device, so accuracy, validation, and regulatory questions remain before any clinical use.

More in Health IT

Health IT

Epic Opens Its Platform Wider to AI and Outside Developers

Epic used its Open@Epic developer conference to open its platform wider to outside AI and apps while reminding developers that the resulting traffic runs on hospitals' infrastructure.

Why it matters: As the dominant EHR vendor, Epic's decision to open its platform shapes how and where clinical AI gets deployed across most U.S. hospitals.

Health IT

After AI Go-Live, Who Owns Monitoring? Often No One

Health systems scrutinize AI before go-live, but post-deployment monitoring responsibilities often remain undefined, leaving no clear owner when models drift.

Why it matters: Unmonitored AI models can quietly degrade in clinical settings, putting patient safety at risk when no one is accountable for watching performance after launch.