TDAI is pleased to host Elizabeth S. Chen, PhD, FACMI, for a talk entitled "Artificial Intelligence in Health Care: Challenges, Opportunities, and Highlights."
Abstract: Over the last five decades, artificial intelligence (AI) in medicine and health care has evolved along with advancements in data, technology, and computation. AI offers the potential to achieve the “quintuple aim” of enhancing patient and provider experiences, reducing costs, improving population health, and addressing equity and inclusion. However, there are a range of challenges in transforming health data into clinically-actionable knowledge and implementing evidence-based interventions into practice. This seminar will begin with an overview of challenges and opportunities presented in the National Academy of Medicine’s 2019 special publication on “AI in Health Care: The Hope, The Hype, The Promise, The Peril.” The talk will end with highlights of data-driven research studies demonstrating the use of AI techniques in different clinical contexts.
About the Speaker: Dr. Chen is Interim Director of the Brown Center for Biomedical Informatics (BCBI), Associate Professor of Medical Science, and Associate Professor of Health Services, Policy & Practice at Brown University. Dr. Chen’s research involves involves leveraging electronic health data along with health information and communications technology to support biomedical discovery and healthcare delivery. Specific research interests include clinical documentation, clinical decision support, health information needs, standards and interoperability, natural language processing (NLP), and data mining and machine learning.
Within BCBI, Dr. Chen leads the Clinical Informatics Innovation and Implementation (CI3) Laboratory that has a three-fold mission to: (1) innovate use of the Electronic Health Record (EHR) for primary (e.g., patient care) and secondary (e.g., research, quality, and public health) purposes, (2) implement digital solutions within operational clinical and research systems, and (3) inspire the next generation of clinical informaticians. Her current research projects are focused on using data, technology, and computational approaches for improving mental health (mental health informatics) and child health (pediatric informatics).
