AI-Generated draft replies integrated into electronic health records and physician-patient communication

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AI-Generated draft replies integrated into electronic health records and physician-patient communication

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    Ming Tai-Seale, PhD (1995), MPH (1988), is a Professor and Vice Chair for Research in the Department of Family Medicine and the Department of Medicine (Bioinformatics) at the University of California San Diego School of Medicine. Her research focuses on medical practice, patient-physician communication, and mental health economics. Dr. Tai-Seale pioneered the use of User Action Log in electronic health records to study physician practices and their impact on physician wellbeing. She was the first to utilize video and audio recordings of clinical encounters to analyze time allocation in medical practice. 

    Dr. Tai-Seale is the lead author of two award-winning papers on physician time allocation and mental health services in primary care, which received the Paper-of-the-Year Award from AcademyHealth. As Principal Investigator (PI) or Co-PI, her research has received funding from agencies including the National Institutes of Health, the Agency for Healthcare Research and Quality (AHRQ), the Patient-Centered Outcomes Research Institute (PCORI), the Health Resources and Services Administration, and the Department of Veterans Affairs. Her work has also been supported by private organizations such as the Doris Bry Trust, the Physician Foundation, the Step Family Foundation, the Sanford Institute for Empathy and Compassion, the Gordon and Betty Moore Foundation, and the American Medical Foundation. 

    Additionally, she serves as the Director for Outcomes Analysis and Scholarship and the Director for Research and Learning in the Population Health Services Organization at UC San Diego Health. She earned her MPH from Emory University and PhD from UCLA Fielding School of Public Health. 

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    • Start date
      10 December 2024 at 16:00 CET Geneva | 10:00-11:00 EST, New York | 23:00-00:00 CST, Beijing
    • End date
      10 December 2024 at 17:00 CET Geneva | 10:00-11:00 EST, New York | 23:00-00:00 CST, Beijing
    • Duration
      60 minutes
    • Topics
    • UN SDGs

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