Pharos

Pharos is a San Francisco-based health technology company that applies AI to hospital quality reporting and patient-safety work. Hospital quality and patient-safety teams must currently read through unstructured clinical notes by hand to abstract facts required by external clinical registries and quality/process-adherence measures; according to the company, a single complex case can take up to eight hours of clinical time and a single hospital can spend around $5 million per year on this extraction, with results arriving weeks after discharge and covering only a sample of patients [0].

The Pharos product extracts the required data from every patient record in near real time and produces quality metrics with references back into the source medical record. The company uses this output to automate submissions to clinical registries and value-based reimbursement contracts, to surface process failures behind harm events such as sepsis, hospital-acquired infections and pressure ulcers, and to let teams measure the impact of quality-improvement projects as they run rather than months later [0][5]. The specific external programs cited in coverage of the company include registries operated by the Centers for Medicare & Medicaid Services and the American College of Surgeons; reporting to such registries is not always mandatory but is generally in hospitals' interest because the registries identify quality issues such as increases in post-surgical infections [7].

The company was part of Y Combinator's Summer 2024 batch and was listed with a team size of five [0]. Its stated long-term aim is for AI to detect medical mistakes across the hospital before they become serious [0].