Bio


Jonathan H. Chen MD, PhD leads a research group to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to deliver better care than either alone. Dr. Chen continues to practice medicine for the concrete rewards of caring for real people and to inspire this research focused on discovering and distributing the latent knowledge embedded in clinical data.

Before his medical training, Chen co-founded a company to translate his Computer Science graduate work into an expert system for organic chemistry, with applications from drug discovery to an education tool for students around the world. His expertise is regularly featured in popular press outlets with over 100 publications in leading clinical and informatics venues and awards from the NIH, National Library of Medicine, American Medical Informatics Association, International Brotherhood of Magicians and more.

In the face of ever escalating complexity in medicine, informatics solutions are the only credible approach to systematically address challenges in healthcare. Tapping into real-world clinical data like electronic medical records with machine learning and data analytics will reveal the community's latent knowledge in a reproducible form. By delivering this back to clinicians, patients, and healthcare systems as clinical decision support, he aims to uniquely close the loop on a continuously learning health system.



Refer to Dr. Chen's web-page for additional in-depth bio information, publication lists, CV, etc.
http://web.stanford.edu/~jonc101

Current Role at Stanford


Assistant Professor - Medical Center Line
Center for Biomedical Informatics Research + Division of Hospital Medicine
Stanford Department of Medicine

Clinical Focus


  • Hospitalist

Professional Education


  • Board Certification: American Board of Preventive Medicine, Clinical Informatics (2017)
  • Fellowship: Palo Alto VA Healthcare System (2015) CA
  • Residency: Stanford University Hospital (2014)
  • Board Certification: American Board of Internal Medicine, Internal Medicine (2014)
  • Medical Education: University of California, Irvine (2011) CA

Current Research and Scholarly Interests


In the face of ever escalating complexity in medicine, integrating informatics solutions is the only credible approach to systematically address challenges in healthcare. Tapping into real-world clinical data streams like electronic medical records with machine learning and data analytics will reveal the community's latent knowledge in a reproducible form. Delivering this back to clinicians, patients, and healthcare systems as clinical decision support will uniquely close the loop on a continuously learning health system. Our group seeks to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to medicine that will deliver better care than what either can do alone.
HealthRexLab.com

2023-24 Courses


Stanford Advisees