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Consultant/Data Scientist
University of California, San Francisco, Canada
From 1996 to 2016, led the development of axiUm, an electronic oral health record product, currently in use at over 90% of the dental schools in North America. While building a very successful software platform, the axiUm product was developed to facilitate the unique research and educational needs of dental schools. Specific efforts were made to advance axiUm to support a diagnostic terminology that has led to the ability to measure outcomes in oral healthcare.
As a member of the ADA Standards Committee on Dental Informatics (SCDI), I contribute to the standardization and advancement of technology in oral healthcare. I support ongoing research as a data scientist and investigator, with areas of focus in electronic health records, preventive care, disparities and quality measures. My current work includes the development of the SnoDDS dental diagnostic terminology, machine learning algorithms for interpreting dental radiographs, and quality measures for oral health care, including health outcome measures for dental caries and periodontal health. These efforts aim to improve patient outcomes and reduce health disparities through the delivery of appropriate evidence-based preventive care, reduction of dental claim fraud and overtreatment, and evolution of the payer reimbursement model to have a focus on quality and outcomes.