Artificial Intelligence / Wellbeing
Augmenting cognitive capabilities and intelligent systems support in health care
Intelligent Systems, as applied to clinical practice, have leaped to the forefront of discussions by practitioners, scientists, vendors, policymakers, and even the public. However, we have not focused adequately on how they must be crafted in response to what we know about clinical users’ cognitive processes (memory, thinking, reasoning).
Problem solving and decision-making are fundamental cognitive abilities for clinical practice. To support and augment such abilities, we must first investigate aspects of mental processes and human behavior and how they are influenced by the interaction between clinicians and the systems they increasingly depend upon. In complex settings, where workflow is complicated due to interruptions and the need for attention to multiple simultaneous tasks, human preferences or instincts may not be well modeled in the intelligent System.
Future intelligent systems need to develop or continue collaborative efforts of intelligent systems researchers with cognitive scientists and the corresponding clinical communities. This talk will address research in cognitive informatics that addresses some of these promises and concerns.
Professor Vimla Patel
Senior Research Scientist
Director | Centre for Cognitive Studies in Medicine and Public Health New York Academy of Medicine
Department of Biomedical Informatics | Columbia University
Professor Vimla Patel is Senior Research Scientist and Director of the Center for Cognitive Studies in Medicine and Public Health at the New York Academy of Medicine in New York City. She also holds adjunct professorial appointments in Biomedical Informatics at Columbia University and Weill Cornell College of Medicine. She received an MA and PhD degrees from McGill University in Montreal and a Doctor of Science (hon) from the University of Victoria in Canada. A cognitive scientist by training, she is well known for her research on healthcare decision-making, medical errors, and technology’s impact on human cognition and is passionate about training graduate students and fellows.