
Gurpreet Dhaliwal
Gurpreet Dhaliwal, MD is a professor of medicine at the University of California San Francisco. He studies how doctors think – how they diagnose, how they make treatment decisions, and how they develop expertise. Considered one of the most skillful diagnosticians and clinician-educators in the U.S. today, he regularly mesmerizes audiences of hundreds of medical professionals as he correctly diagnoses cases meant to stump participants. The New York Times said, "To observe him at work is like watching Steven Spielberg tackle a script or Rory McIlroy a golf course."
In presentations, Dr. Dhaliwal shares insights on how we think – and how that affects the quality of our decision-making—from what facts you ignored or included and what shortcuts your mind took to what biases affected your decision and what forces shaped it (tradition, evidence, habit). Believing that examining our thinking is how we develop knowledge, wisdom, curiosity and humility, Dhaliwal impresses audiences with his poise, humor, and ability to articulate his real-time thinking in an accessible way.
Medical Marvel. Dr. Dhaliwal sees patients and teaches medical students and residents in the emergency department, inpatient wards, and outpatient clinic at the San Francisco VA Medical Center, where he often puzzles through multiple mysteries at a time.
In 2012, he was profiled in the New York Times article "Could a Computer Outthink This Doctor?" He currently writes for the Wall Street Journal's Health Report blog.
Dr. Dhaliwal is a member of the UCSF Academy of Medical Educators and the UCSF Department of Medicine Council of Master Clinicians. He has won multiple teaching awards and has published more than 70 articles in leading medical journals including the New England Journal of Medicine and the Journal of the American Medical Association. He has been a visiting professor at multiple universities across the U.S. and in China and Japan.
He writes and speaks on physician leadership, physician engagement, and the need for physicians to engage in high-value care.
Gurpreet Dhaliwal, MD is a professor of medicine at the University of California San Francisco. He studies how doctors think – how they diagnose, how they make treatment decisions, and how they develop expertise. Considered one of the most skillful diagnosticians and clinician-educators in the U.S. today, he regularly mesmerizes audiences of hundreds of medical professionals as he correctly diagnoses cases meant to stump participants. The New York Times said, "To observe him at work is like watching Steven Spielberg tackle a script or Rory McIlroy a golf course."
In presentations, Dr. Dhaliwal shares insights on how we think – and how that affects the quality of our decision-making—from what facts you ignored or included and what shortcuts your mind took to what biases affected your decision and what forces shaped it (tradition, evidence, habit). Believing that examining our thinking is how we develop knowledge, wisdom, curiosity and humility, Dhaliwal impresses audiences with his poise, humor, and ability to articulate his real-time thinking in an accessible way.
Medical Marvel. Dr. Dhaliwal sees patients and teaches medical students and residents in the emergency department, inpatient wards, and outpatient clinic at the San Francisco VA Medical Center, where he often puzzles through multiple mysteries at a time.
In 2012, he was profiled in the New York Times article "Could a Computer Outthink This Doctor?" He currently writes for the Wall Street Journal's Health Report blog.
Dr. Dhaliwal is a member of the UCSF Academy of Medical Educators and the UCSF Department of Medicine Council of Master Clinicians. He has won multiple teaching awards and has published more than 70 articles in leading medical journals including the New England Journal of Medicine and the Journal of the American Medical Association. He has been a visiting professor at multiple universities across the U.S. and in China and Japan.
He writes and speaks on physician leadership, physician engagement, and the need for physicians to engage in high-value care.
How Doctors Think: Implications for Quality, Cost, and Safety
Can Computers Diagnose?
Even since IBM's Watson supercomputer defeated human Jeopardy champions in 2011, the medical world has been abuzz about the possibility that a supercomputer can one day diagnose patients. With technological developments like driverless cars and the promise of Big Data, this seems like a forgone conclusion. In this talk, Dr. Dhaliwal examines the reality of teaching a computer how to diagnose the human condition. He touches on the promise and challenges of a diagnostic...


