Making Wearable Data Actionable Care; Medical Language AI at Scale

Two founders solving how we turn data into care from #HLTH2025. Live from ‪@HLTHEVENTS‬ Wearables track thousands of data points daily, but most becomes noise instead of signal. Billions of clinical notes sit locked away because we cannot extract meaning at scale.

Oren Nissim has type two diabetes. He built Brook Health to eliminate loneliness for patients with chronic conditions at home. The company tracks thousands of data points daily, uses AI to flag anomalies, then has human care teams validate and present medical decision recommendations to providers instead of raw data dumps. His insight: we face an accountability gap where consumers have devices generating signals but do not want to be their own doctor or trust ChatGPT alone.

Dr. Tim O’Connell is a practicing radiologist who got frustrated reading CT scans with histories that just said “rule out trauma.” He built emtelligent nine years ago to extract meaning from clinical notes. The company processes billions of documents for health systems, payers, and life sciences. Unlike many AI companies using large language models, emtelligent builds custom models optimized for cost, speed, and accuracy at massive scale. They always show source documents to build trust.

Listen to the full podcast here.