Wearables track thousands of data points daily, but most becomes noise instead of signal. Clinical notes document critical patient information, yet we cannot extract meaning at scale. Two founders solving how we turn data into trusted care.

Oren Nissim is the co-founder and CEO of Brook Health. He has type two diabetes himself, which drove him to build remote care for people with chronic conditions like diabetes, hypertension, CHF, and COPD.

The company works as part of the health system, extending primary care into the home. His mission is simple: people living with multiple chronic conditions at home need agency. The tools are cheap and covered by insurance. Brook collects thousands of data points daily from every patient. AI compares against baselines and identifies anomalies.

But here is what matters: a care team analyzes AI-flagged anomalies first, then brings medical decision recommendations to providers instead of raw data summaries.

Tim O'Connell, MD is a practicing radiologist and CEO of emtelligent, a nine-year-old medical language AI company. The company does large-scale data extraction from clinical notes and AI-assisted chart review.

He started the company in 2016 during the deep learning boom, years before the 2022 LLM explosion. His differentiator is that emtelligent does not use large language models as its core. The company builds custom language models optimized for cost, speed, and accuracy at massive scale.

His vision for healthcare is better data extraction from unstructured notes so we can use the critical information clinicians spend so much time documenting.

Highlights from Oren Nissim at Brook Health:

• His glow up is about use cases, not widgets. The industry is being forced to prove ROI rather than just adding more time and cost.
• The company uses AI to flag anomalies, then care teams validate and present medical decisions to providers. This creates guardrails so providers can trust what they see.
• His spicy take: watch Medicare Advantage closely over the next few months as some players walk away and others walk in.

Highlights from Tim O'Connell at emtelligent:

• His six-month glow up is moving pilots to implementations. After years of experimentation, 2025 is the year of execution.
• When extracting data, the software shows exactly where terms came from in source documents. This builds trust and allows human reviewers to verify accuracy.
• His industry glow up is better healthcare analytics. We need to extract meaning from the documentation clinicians spend so much time creating.

Healthcare gets better when we turn overwhelming data into trusted insights that providers can act on.

A "glow up" signifies a positive transformation, reflecting the journey of becoming a better, more successful version of oneself.
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