We develop state-of-the-art AI technology which enables highly-enriched and structured patient data to be automatically captured as the patient and clinician are interacting.
Our team is composed of clinicians, health system leaders and healthcare-focused artificial intelligence software developers.
MD, MSc in Health Informatics, Institute of Health Policy Management and Evaluation, University of Toronto; expertise: clinical medicine and structure and design of electronic medical record software; role: CEO
PhD Candidate, Department of Computer Science, University of Toronto; M.Sc. in Language Technologies from Carnegie Mellon University; expertise: research experience in natural language processing for healthcare; role: implementation and development of AutoScribe technology stack for data analysis and natural language processing
Faiza Khan Khattak
PhD, Post-Doctoral fellow, Vector Institute; expertise: research experience in Machine Learning; role: core Machine Learning developer
PhD. Associate professor, Department of Computer Science, University of Toronto. Director Signal Processing in Oral Communication lab Scientist, International Center for Surgical Safety, Li Ka Shing Knowledge Institute, Saint Michael’s Hospital, Vector Institute faculty member; expertise: distinguished computer scientist in applying novel machine learning models to oral communication in healthcare; role: provides technical oversight of AutoScribe’s development, including integration of automatic speech recognition.
PharmD, MPH, Professor in the Leslie Dan Faculty of Pharmacy, the Department of Medicine, and the Dalla Lana Faculty of Public Health. Director of the Li Ka Shing Centre for Healthcare Analytics Research and Training (LKS-CHART) of St. Michael’s Hospital; expertise: health services researcher and technology assessment expert; role: health systems strategist for technology adoption