centered image

centered image

27 Top Cardiologists, Picked By Big Data

Discussion in 'Cardiology' started by Hadeel Abdelkariem, Sep 17, 2018.

  1. Hadeel Abdelkariem

    Hadeel Abdelkariem Golden Member

    Joined:
    Apr 1, 2018
    Messages:
    3,448
    Likes Received:
    21
    Trophy Points:
    7,220
    Gender:
    Female
    Practicing medicine in:
    Egypt

    What's below is the result of a challenge: can a company that helps patients find the right doctor identify the best physicians over all, or at least come close?

    Last year, I wrote a magazine profile of a company called Grand Rounds, which aims to meticulously comb through data on physicians – everything from what they prescribe to the wait times in their parking lots — to help pick the right doctor for the right patient.

    [​IMG]


    The company’s founder, Owen Tripp, even used the service himself when a type of tumor was found in his ear. “It's not that there aren't good doctors, and it's certainly not that there aren't enough of them,” Tripp said last week at the Forbes Healthcare Summit. The problem is measurement.


    OK, smart guy, I said. If you can tell which doctors are better, give me a list of the best. Grand Rounds uses a computer model based on publicly available and proprietary data, including administrative claims data from insurers, practice affiliations, board certifications, disciplinary actions, and academic publications. These data don’t tell how a doctor’s patients do, but they do allow the company to look at how doctors were trained, who they work with, what they prescribe, and procedures they perform. For instance, in breast cancer oncology, better physicians are more likely to perform genomic tests. In contrast, in cardiology, ordering more tests is a sign of lower physician quality. The lists we’re publishing today, in breast cancer oncology and cardiology, are the result of using a machine learning algorithm on many such measures.

    There are limitations to this analysis. Grand Rounds says it misses excellent doctors who belong on it. Efforts to find outside experts who could vet Grand Rounds’ algorithms were unsuccessful. Like many efforts in machine learning or artificial intelligence, the results emerge from a black box that’s hard for outsiders to evaluate. And Grand Rounds is a private company, with the skepticism it entails. But this list, and the other, are at the least thought-provoking. And I can confirm, based on years of reporting, that many of the physicians included are indeed the best in their fields.

    Honor Roll

    Antonio Abbate Virginia Commonwealth University
    Theodore Abraham UCSF
    Ezra Amsterdam UC Davis
    Richard Becker University of Cincinnati
    Roger Blumenthal Johns Hopkins
    Wendy Book Emory University
    Barry Borlaug Mayo Clinic
    Mario Deng UCLA
    Stavros Drakos University of Utah
    Howard Eisen Drexel University
    Michael Fowler Stanford Medicine
    Valentin Fuster Mount Sinai
    Ray Hershberger The Ohio State University
    James Kirkpatrick UW Medical Center
    Itzhak Kronzon Northwell Health
    Amir Lerman Mayo Clinic
    Stephen Little Houston Methodist
    Donald Lloyd-Jones Northwestern
    Douglas Mann Washington University in St. Louis
    Mathew Maurer New York-Presbyterian
    Jawahar Mehta University of Arkansas
    Steven Nissen Cleveland Clinic
    Eric Peterson Duke Clinical Research Institute
    Douglas Sawyer Maine Medical Center
    Randall Starling Cleveland Clinic
    Heinrich Taegtmeyer University of Texas
    David Taylor Cleveland Clinic

    Source
     

    Add Reply

Share This Page

<