Nigam Shah
Assistant Professor of Medicine (Biomedical Informatics) , Stanford School of Medicine

Dr. Nigam H. Shah is an Assistant Professor of Medicine (Biomedical Informatics) at the Stanford School of Medicine. His group builds ontology-based applications to improve search, integration and use of unstructured biomedical information. Recently, his group has shown that by mining the unstructured clinical notes for patterns of mentions of disease conditions, drug names and the temporal ordering of the drugs and diseases, is it possible to detect the known associations between drugs and their adverse effects—on average 2 years before their respective safety alerts are issued. He teaches on the topics of how to use biomedical ontologies for data mining as well as on current trends & future directions in data-driven medicine. ( and

Dr. Shah has been an invited speaker at several international conferences on the topic of applying ontologies in health and life sciences. He co-chairs the Bio-Ontologies meeting at the Intelligent Systems in Molecular Biology conference since 2008 and chaired the American Medical Informatics Association’s Summit on Translational Bioinformatics in 2012. He holds an MBBS from Baroda Medical College, India, a PhD from Penn State University and completed postdoctoral training at Stanford University.


Sponsored Sessions
Location: Yosemite C
Josh Wills (Cloudera), Kenneth Kolenik (Nuance Healthcare), Jake Marcus (Practice Fusion), Jacob Miller (Explorys), Nigam Shah (Stanford School of Medicine)
Average rating: ****.
(4.00, 1 rating)
Even with the advent of sophisticated EHR systems, the vast majority of information about patient care is still recorded as free text, and this seems unlikely to change in the near future. This panel will discuss the path towards the meaningful use of natural language processing to improve patient care and clinical outcomes, both intrinsically and as a necessary input for predictive analytics. Read more.


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