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Hona (YC W24) integrates with electronic health record systems to collect and condense medical histories, enabling providers to fully understand their patients by finding data previously lost in mountains of charts. New regulations have improved communication between electronic health record systems, but healthcare providers struggle to handle the resulting surge of unstructured data. This challenge is compounded as patient records grow in size — the average patient record is equivalent to half the size of Shakespeare's 'Hamlet'! Providers, seeing over 20 patients daily, must obtain comprehensive histories from various sources, often navigating through extensive PDFs for crucial details. This overwhelming task contributes to cognitive overload, risking burnout, revenue loss, and compromised patient care. Founded by Adam Steinle, Danielle J. Yoesep, and Shuying (Sofia) Zhang, a team of ex-biomedical engineers, Hona is transforming the complexity of healthcare data into something radically simple. It searches nationwide for patient data based on providers' schedules, condensing notes, lab results, and more into specialty-specific clinical summaries with links to original sources. Hona then converts its clinical summaries into value-based care metrics, risk scores, and quality measures for practice-level insights. Congrats Adam, Daniell, and Shuying on the launch — and welcome to YC!

Launch YC: Hona: Less time with charts. More connected patients. | Y Combinator

Launch YC: Hona: Less time with charts. More connected patients. | Y Combinator

ycombinator.com

Adam Steinle

Cofounder of Hona (YC W24)

4mo

Let's go!!!

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Jeff James Martin

CEO & Founder @ Collective Genius | Author of “Peak Teams - Mastering the Habits of Unstoppable Venture-backed Companies”

4mo

This is a big lift. Congrats.

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Hanita Chalabi

Director | Engineering and R&D Client Partner @ HCLTech | Co-Founder | CX Advisor | CSUEB 40 Under 40 | Member of WomenTech Network

4mo

👏🚀

Reece Phillips

Markets. Online Learning. Tech.

4mo

Great use of AI to find insights from data.

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