Tom Lasko Receives R01 Grant for Machine Learning and Visualization

Thomas Lasko, MD, PhD, Assistant Professor of Biomedical Informatics was awarded a 3-year R01 grant from the National Institute of Biomedical Imaging and Bioengineering. The goal of this project is to use cutting-edge methods from the data science and big Data communities to provide rapidly interpretable visualizations of complex clinical data patterns that allow clinicians to quickly answer selected clinical questions that they face many times a day. This project aims to support the cognitive tasks involved in answering the following broad clinical questions: 1) What is the preoperative clinical status of this patient? 2) What are the common anesthetic approaches for this surgical procedure? And 3) What is the acuity level and complexity of each patient in the population of those who will be operated on tomorrow?  These specific questions were selected from the clinical domain of anesthesia because that domain has fairly consistent practices between institutions, but we intend for our solutions to be easily extendable to analogous questions across clinical specialties. This project includes developing web-based tools that clinicians can use to answer these questions during their daily clinical practice.

 

More details on this grant can found here.