Telemedicine/EHR/Medical Informatics
Telemedicine/EHR/Medical Informatics 3
Judith W. Dexheimer, PhD, MBA (she/her/hers)
Associate Professor
Cincinnati Children's Hospital Medical Center
Cincinnati, Ohio, United States
Machine learning continues to permeate modern life. Despite the increase of machine learning applications, there remains minimal work being done specifically in pediatrics. Pediatricians hold a unique understanding of brain development, which provides a baseline for understanding machine learning concepts modeled after the human brain. At this critical point in informatics research and application, pediatricians must develop a conceptual model of machine learning techniques, identify acceptable use of artificial intelligence methods in medicine, and understand state-of-the-art projects being done to help provide the best possible care for patients.
Dr. Dufendach is a neonatologist, assistant professor, and informaticist at CCHMC. He will provide a primer on machine learning and artificial intelligence from the pediatrics perspective, leveraging the clinician’s conceptual model of brain development to help explain how a neural network works. He will introduce and illustrate the seven steps for developing machine learning algorithms.
Dr. Dexheimer is a biomedical informaticist with a focus in machine learning and decision support, and associate professor at CCHMC . She will highlight research being performed at CCHMC. She will discuss the role and impact of AI and ML in research with the electronic health records, explore unique aspects of conducting work in pediatrics with informatics, and discuss the integration of ML into clinical care.
Dr. Grundmeier is a pediatrician and the Director of Clinical Informatics at the Children’s Hospital of Philadelphia. He is a national expert in the repurposing of clinical data for secondary use in clinical and genomics research. He will provide a broad review of the pediatric-related machine-learning literature and put it into context for the pediatric provider and will highlight state of the art work being performed at the Children’s Hospital of Philadelphia.
Dr. Mendoça is a pediatric intensivist and the Director of the Division of Biomedical Informatics at CCHMC. She will discuss ethics and regulations in machine learning and natural language processing research using electronic health record data.
Attendees will be able to describe machine learning in common terms, provide examples of applying machine learning to pediatric care, and describe challenges and ethical considerations of using machine learning to improve research and child health.