We 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.
Our research group seeks to empower individuals with the collective experience of the many, combining human and artificial intelligence approaches to deliver better care than either can do alone.
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 as clinical decision support, we aim to uniquely close the loop on a continuously learning health system.
The practice of modern medicine is faced with an explosive growth in biomedical knowledge with thousands of medical and surgical procedures, diagnostic tests, pharmaceutical drugs, and recognized disease states, where we routinely face a combinatorial explosion of possible medical decisions.
Informatics and computational approaches are the only credible approach to systematically address challenges in modern healthcare.
What We Do
Discover and distribute the latent knowledge embedded in health data.
Improve systems for clinical decision support by developing data-driven algorithms and user interfaces.
Infer patient context from electronic information in order to anticipate what a physician needs without the physician having to ask for it.
Predict Low Yield Diagnostics:
Following the philosophy of “Don’t order a test unless it will change management.”
Develop machine learning algorithms to predict diagnostic results before they are even ordered to predict highly predictable low yield cases.
Provide automated e-consult, because no one benefits from a patient sitting on a waiting list!
Use automated clinical workup guidance to get diagnosis and empiric treatment started for patients promptly, instead of always awaiting consultations.
Empower clinicians to practice to the top of their license!
The Team behind
Learn more about our team of postdoctoral professionals, fellows, and students making valuable contributions to biomedical informatics and related fields.
Follow Jonathan H. Chen on Twitter @jonc101x
Dr. Jonathan H. Chen MD PhD
Dr. Jonathan Chen (MD, PhD) oversees the research group as Assistant Professor of Medicine in the Stanford Center for Biomedical Informatics Research, Division of Hospital Medicine, and Clinical Excellence Research Center.