Colin G. Walsh, MD, MA, FACMI, FAMIA
Dr. Colin G. Walsh is a practicing internist and clinical informatician who joined Vanderbilt University as Assistant Professor of Biomedical Informatics, Medicine, and Psychiatry in early 2015. His research is focused in predictive analytics applied to vulnerable populations, clinical workflow, and decision support at the point-of-care.
His foci of research and operational work are: 1) machine learning/data science applied to use-cases in mental health; 2) utilization optimization and quality improvement; 3) an analytics approach to value-based healthcare.
As Founder and Principal Investigator of the Walsh Lab, he is mentoring multiple trainees ranging from undergraduates to informatics PhD candidates to practicing clinical sub-specialists.
After undergraduate training in mechanical engineering at Princeton University, Dr. Walsh attended medical school at the University of Chicago. He completed residency and chief residency in internal medicine at Columbia University Medical Center. He studied machine learning and data science in the domain of hospital readmission risk prediction at Columbia University under research mentor, Dr. George Hripcsak, in fellowship in Biomedical Informatics funded by the National Library of Medicine.
At Vanderbilt, he continues to develop clinically-grounded predictive models using data science approaches on structured and unstructured clinical data. Examples of active projects range from:
- Machine learning + natural language processing approaches to predict and phenotype risks of suicidality
- Analytics approaches to support Value-Based Healthcare
- Visual Analytics + Machine Learning Approaches to predict healthcare utilization to support interventions in Quality and Clinical Improvement
- Algorithms that identify and predict unnecessary healthcare service utilization in Choosing Wisely
Google Scholar: https://scholar.google.com/citations?user=FHBxu1EAAAAJ&hl=en