Nigam Shah

He teaches in the Biomedical Informatics (BMI) graduate degree program, holding the positions of Professor of Medicine, Associate Dean of Research, and Chief Data Scientist at Stanford Health Care.

[22][23] His team released the foundation models that are trained using de-identified, longitudinal electronic health records along with a benchmarking dataset with manually verified labels for open comparison of technical advances.

[37] A large portion of his research focused on validating the core informatics methods to enable such use of aggregate patient data, leading to the Green Button initiative.

[38][39] He later operated a bedside consultation service in the USA that provides a clinician with an on-demand summary of similar patients in terms of the treatment choices made and observed outcomes.

[47] His work demonstrated that using simple term recognition methods results in little or no impact on accuracy for multiple clinical tasks with the advantage of scaling to very large datasets.