Flow of Information in Patient Care

April 11, 2021 · 1 min read
Abstract
This lecture introduces how clinical information is generated, transformed, and communicated across patient care workflows. It provides a foundation for understanding where medical data comes from, how it is structured and used, and why these realities matter for building and evaluating AI systems in medicine.
presentations

This is the Flow of Information in Patient Care lecture I gave as part of the AI in Medicine Course for the AI in Medicine Student Society (AIMSS) in 2021. This lecture was the premier lecture of the Introduction to Medicine and Medical Data stream of the course.

Talk Lecture Teaching Recorded AIMSS AI in Medicine Course Medical Data Patient Care Artificial Intelligence
Ehsan Misaghi
Authors
Ehsan Misaghi (he/him)
Clinician-Scientist Trainee
Ehsan Misaghi is an MD/PhD Candidate at the University of Alberta working at the intersection of ophthalmology, genetics, and artificial intelligence. His research focuses on inherited retinal disease and genotype–phenotype correlations in ocular disease, with an emphasis on mechanistic insight and translational relevance. Alongside research, he builds and evaluates practical AI tools for clinical and educational settings, and he leads medical AI education, research, and community-building through the AI in Medical Systems Society (AIMSS) and related initiatives. His goal is to advance rigorous, clinically useful research and translate it into improved diagnostics, care pathways, and responsible innovation.