FundedPulse
The Hidden Cost of Manual Quality Reporting
Every hospital in the United States is required to report clinical quality metrics to state and national registries — a critical process meant to hold healthcare institutions accountable for patient outcomes. But the way this gets done today is deeply broken. Nurses and clinical staff spend hours manually reviewing patient records, extracting data by hand, and submitting it to oversight bodies. Each complex case can take up to eight hours to abstract. Multiply that across thousands of patients, and the financial and human toll is staggering: hospitals spend roughly $5 million per year on this manual process alone.
Pharos is changing that. The company uses AI to automate the extraction of clinical quality metrics from unstructured medical records and submit them directly to registries — no manual chart abstraction required. Beyond just automating reporting, Pharos surfaces real-time data on avoidable harm events like sepsis and hospital-acquired infections, giving clinical teams the visibility they need to intervene before patients deteriorate.
Tackling a Preventable Crisis
The stakes are enormous. Approximately 350,000 Americans die each year from preventable sepsis — a number that has remained stubbornly high in part because the data to identify and respond to at-risk patients has been trapped in unstructured notes, slow reporting pipelines, and siloed EHR systems. Pharos pulls that data out and makes it actionable in real time.
Since emerging from Y Combinator's S24 batch with a $5 million seed round led by Felicis — with participation from General Catalyst, Moxxie Ventures, and Y Combinator — Pharos has deployed to more than 70 hospitals. The platform integrates with existing EHR infrastructure and works across the heterogeneous system landscape that defines most hospital networks, removing one of the most significant barriers to adoption for health tech products.
Why the Timing Is Right
Hospital margins are under sustained pressure, and administrative burden has become one of the leading drivers of clinician burnout. Quality reporting sits at the intersection of both problems: it is costly, time-consuming, and largely disconnected from the clinical workflow. AI capable of handling the full reporting pipeline — ingestion, extraction, validation, and submission — is now mature enough to be trusted with this work at scale. Pharos is the team positioned to deliver it.