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November 12, 2026

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

Health IT

Cadence Raises $100M, Adds Duke and Texas Health Resources

Cadence, a clinical AI company built around chronic disease management, has raised $100 million in a Series C round and signed new partnerships with Duke Health and Texas Health Resources, according to Becker's Hospital Review. The round was led by Spark Capital with participation from Thrive Capital, General Catalyst and Coatue.

Cadence pairs remote monitoring with clinical staff to manage patients with conditions like hypertension, diabetes and heart failure between visits. The model lets health systems extend care to chronically ill patients without adding their own headcount, a growing priority as systems face thin margins and clinician shortages.

The Duke and Texas Health Resources deals signal continued appetite among large systems for outside AI partners to handle high-volume, high-cost chronic care. For Cadence, landing marquee academic and regional health systems strengthens its case as investors keep pouring money into clinical AI aimed at measurable cost and outcome improvements rather than back-office tasks.

More in Health IT

Health IT

iRhythm Uses Patient Data to Flag Arrhythmia Risk Earlier

iRhythm's Predictive Arrhythmia Solutions mines EHR and claims data to identify patients for earlier cardiac monitoring instead of waiting for symptoms.

Why it matters: Silent arrhythmias like atrial fibrillation often go undetected until they cause strokes, so using existing data to find at-risk patients earlier could prevent costly and dangerous events.

Health IT

AI Governance in Healthcare Doesn't Stop at Launch

Healthcare Dive argues that AI governance in healthcare is a continuous process of monitoring and accountability, not a one-time approval at launch.

Why it matters: AI models can degrade after deployment, so health systems need ongoing oversight to prevent patient harm and keep clinical tools trustworthy.

Health IT

Healthcare's Revenue Cycle Needs Orchestration, Not More AI

Providers have deployed AI across the revenue cycle, but only 4% have connected the tools, and orchestration is emerging as the fix.

Why it matters: Disconnected AI tools waste investment; orchestrating them is what actually reduces denials and speeds provider payments.