AI is eliminating jobs across the economy, but nursing and care work remain in deep, demographically-driven shortage, so the real opportunity for care professionals is using AI to offload administrative burden, not worrying about being replaced by it.

For years, building AI into clinical workflows meant moving at the FDA's pace. That's starting to change.

Modern conversational AI listens, adapts, and asks smarter follow-up questions to uncover meaningful patient insights. The result is better engagement, earlier intervention, and more effective care between visits.

Cali handles the check-ins, monitors the data, and alerts your team before small problems become readmissions

Most healthcare providers are already doing the work behind programs like RPM and CCM, but without structure, it doesn’t scale.

Most check-in calls only take. The ones patients keep answering give something back.

What a New Study Says About Chatbot Empathy in Healthcare

This is Part 1 of a 2-part series. Here we’ll focus on the big myths and what’s genuinely changing right now. Part 2 will get practical: where AI helps, where it fails, and the checklist that separates real progress from hype.

What would Florence Nightingale think of AI in healthcare? Explore the future of clinical trials through data, patient monitoring, and Calico Care.

The future of clinical trials is continuous. Better patient engagement and stronger documentation between visits are what will ultimately drive compliance, reduce dropout, and improve data quality. We broke down what that shift actually looks like in practice