Ania Bilski is the VP of Clinical AI at OpenEvidence, where she leverages her deep expertise as a practicing Emergency Physician for Kaiser Permanente and UCSF. A graduate of Northwesterns Feinberg School of Medicine, she is also a public speaker on the intersection of AI and healthcare, focusing on trust and safety.
She has a demonstrated passion for accessible healthcare, with an undergraduate minor in global health. During her medical training, she led a student trip to under-resourced clinics in India and volunteered at a free health clinic in Chicago, serving the local community.
Unique fact: Ania is fluent in Polish and used her language skills to connect with and provide care to Polish-speaking patients at a free clinic.
Read the full overview →They prefer to do thorough analysis of any situation. They generally do not appreciate an overfriendly approach and prefer to stay to-the-point. While they don't hesitate to ask questions, they are generally risk-averse and tend to be late adopters.
Calculativeness (C) reflects the degree to which a person is likely to be cautious, systematic and analytical. Those scoring high tend to emphasise quality and accuracy.
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