Workshop

Gail Keenan is a distinguished international nursing informatics researcher and innovator.  She is currently Professor, Department Chair, and Endowed Chair in Nursing Excellence in the Family, Community, and Health System Science Department at the University of Florida, College of Nursing. For more than two decades she has led multidisciplinary teams building the science supporting the generation and utilization of high-quality nursing data to improve the impact of nursing care on patient outcomes.  The research of her teams, comprised of faculty, fellows, and students, has received continuous funding from a variety of national peer reviewed sources including National Institutes of Health (NIH), the Agency for Health Research and Quality (AHRQ), and numerous private foundations.  The research addresses key factors that influence the delivery of valid evidence and its use by nurses at the point of care (e.g., quality of data collected; interface design, usability, data base structure, storage, integration of SNLs, user characteristics, and clinical decision support (CDS) format; methods of generating evidence, data extraction, mapping, statistical analysis, machine learning (ML), and artificial intelligence (AI); enablers-policies, resources, and dissemination strategies. The findings are reported in nearly 100 publications in high quality nursing and multidisciplinary journals and books. Dr. Keenan has served in a variety of health informatics leadership roles for key professional organizations including NANDA International, the American Nurses Association, and the American Medical Informatics Association. She is a fellow in the American Academy of Nursing where she is a member and past chair of the informatics and technology expert panel. Her current research foci include a 3-year National Institute for Nursing Research (NINR) R01 funded study on CDS formats for nurses; standardizing and adding local nursing data to regional/national/international data networks for AI analyses; and demonstrating the capability of the Fast Healthcare Interoperability Resources (FHIR) standard to support nursing data interoperability.