Researchers found that diagnoses were far more accurate if they were
the result of online physician crowdsourcing, according to a report
in JAMA Network Open.
"We are saying, what if you crowdsourced a case?" said lead author
Dr. Michael Barnett, an assistant professor of health policy and
management at the Harvard T.H. Chan School of Public Health. "You
get a bunch of doctors together solving the case and put the answers
together as if they were in the same room and come up with a ranked
list. If you pick the diagnosis at the top of the list, you do way
better than individual doctors do."
For the new study, Barnett and his colleagues turned to The Human
Diagnosis Project (Human Dx), an international online project in
which physicians and fellows, residents and medical students
practice authoring and diagnosing teaching cases.
Users create teaching cases from their own clinical practice with
key elements of the history, physical and diagnostic tests (for
example, laboratory and imaging studies). Once other doctors put
their answers in - they are allowed five guesses - they are told
what the real diagnosis is.
Ultimately the researchers concentrated on 1,572 cases from the
dataset that 2,069 users had offered diagnoses for. Among the users
were 1,228 residents or fellows, 431 attending physicians and 410
medical students.
On their own, doctors and doctors-in-training didn't do so well,
arriving at the correct diagnosis just 62.5 percent of the time.
That would be a "D" grade, Barnett said. But when the researchers
put groups of nine physicians per case together and looked at the
diagnosis chosen most often by the nine, they found the odds of
getting the correct answer were vastly improved at 85.6 percent.
"When you add people in groups you get up to a C and a B+," Barnett
said. "And you can get all the way up to an A."
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Barnett isn't sure how a similar process could be implemented in
real world situations. That's a subject for further research, he
said.
The new paper is looking at ways to improve diagnosis, said Dr.
Allen Kachalia, senior vice president for patient safety and quality
and director of the Armstrong Institute for Patient Safety and
Quality at Johns Hopkins Medicine.
"There's no question that diagnostic error is a big problem in
medicine," Kachalia said. "It's something we're still trying to
address. In the past, that's been done by giving clinicians
guidelines and pathways to follow to help them in decision making.
This study helps us think about different solutions to that problem.
It puts in our minds the question: how do we get two or three minds
together to help solve diagnostic issues."
There are two messages you can take from this study, said Dr. Ben
Miller, clinical services director at the Paul C. Gaffney Division
of Pediatric Hospital Medicine at the Children's Hospital of
Pittsburgh.
First, "even though this is simulated, it shows that the
collaborative process of multiple physicians thinking about a
patient probably leads to better diagnostic accuracy," said Miller,
who was not involved in the new research. "The other takeaway is the
inherent uncertainty of medicine."
Many patients assume that if they are seen by a doctor, diagnosis is
simply a black or white issue, and "if you're a doctor you should
know the right answer, "Miller said. "But even with the collective
wisdom of multiple doctors, one in 10 times they will miss the
mark."
SOURCE: http://bit.ly/2Uby11m JAMA Network Open, online March 1,
2019.
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