Helping hospitals identify and prevent avoidable harm using AI
Hospitals waste extensive clinician time on manual quality reporting and struggle to detect and prevent avoidable patient harm from complex medical records.
An AI system that extracts required facts from unstructured medical records to automate quality reporting and pinpoint areas of avoidable harm.
Enterprise hospitals and clinical quality teams responsible for mandatory reporting and quality improvement.
CEO at Pharos. Previously VP Data Science at vital.io and VP Quantitative Research at JP. Morgan. Obsessed with sepsis: https://ai.jmir.org/2024/1/e49784
Founder and CTO at Pharos, preventing avoidable harm in hospitals using AI. Previously part of the founding team of Market2x, a rural trucking marketplace and optimisation platform in New Zealand.




