San Mateo, California, United States
Series A healthcare NLP & risk adjustment SaaS | ~50 employees
Designed and delivered polished clinical workflows that balanced usability, regulatory constraints, and patient data privacy, supporting accurate decision-making and earning a Net Promoter Score (NPS) of 100 through strong customer partnerships.
Led 0→1 design for first-to-market, EHR-integrated pre-visit screening tool that increased clinical coding productivity by 30%+ and generated $45K in annual ROI per 100 patients screened by clinician staff with varying technical proficiency.
Improved diagnosis accuracy and condition identification by 15% through ML-driven features designed in close collaboration with PMs, engineers, and data scientists. Reduced costly rework by validating design direction early through structured remote usability testing with high-fidelity prototypes.
Equipped remote engineering teams with clear build objectives and documentation to support Agile development, reducing ambiguity, improving sprint efficiency, and minimizing time zone delays during design-to-development handoffs.