Karandeep Singh, MD is a second year postdoctoral fellow in the Biomedical Informatics Master’s program at Harvard Medical School and a clinical and research fellow in nephrology at Brigham and Women’s Hospital in Boston.

Dr. Singh graduated from the University of Michigan with a B.S. in 2004 and a M.D. in 2008. Dr. Singh also completed the Program for Clinical Effectiveness, a non-degree program offered through the Harvard School of Public Health. His current research focuses on using biomedical informatics to measure and improve patient care. The abstract for his talk is below.

For the learning health system model to succeed, it must deliver value to all invested parties by imparting new insights and using new knowledge to inform decision-making by clinicians, patients, and healthcare entities. In this presentation will describe how emerging informatics techniques such as natural language processing can be combined with modern statistical and machine learning methods to form the building blocks of a learning health system. These methods will be applied to the use case of chronic kidney disease with retrospective data to demonstrate what new knowledge can be gained, how this knowledge can be applied, and how the results of implementing such a system can be measured.