I now devote most of my time to designing interactive information visualizations for clinical quality improvement. Much of the visualizations are delivered in Tableau, but I also use Mathematica and R for more advanced visualizations and exploratory development. I teach SBMI 6340: Health Information Visualization and Visual Analytics, a very popular course that teaches information visualization theory, best practices, and Tableau in the context of healthcare. I also continue work on more basic research interests, such as methods for using large clinical datasets, data quality assessment, and formal methods for interaction design and assessment. My research experience is in artificial intelligence, human factors engineering, patient safety, medical device safety and usability, electronic health record usability, visual analytics, and ontologies for clinical translational research.
Publications/Creative Works
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Affiliations
Training Grants
NLM Training Program in Biomedical Informatics & Data Science for Predoctoral and Postdoctoral Fellows
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