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Education

February 24, 2018
An alarming list of some crazy things our colleagues have done in the recent past.
February 14, 2018
Interesting article commenting on the perception that some remedies in medicine are so obviously beneficial that testing their effectiveness is a waste of time.  As it turns out, many of what physicians think are "slam dunk" remedies have mixed or negative results.
January 18, 2018
The authors describe a clinical unit developed at their institution designed to implement "nudges" to help improve health care delivery, primarily through the EMR.   "Nudges" have been used to shape other  behaviors, such as offering opt-out (rather than opt-in) for organ donor status to encourage increased organ donation.  The concept was described
January 13, 2018
Interesting research/opinion piece about how the introduction of robots has forced a change in surgical training, with some residents gaining skill through a process of "shadow learning."
January 3, 2018
Video and a readable digest of a talk in a Harvard meeting, especially interesting in its scepticism on prevention.
December 20, 2017
As the year comes to a close, the CTSNet staff present the ten most popular pieces of clinical content published during 2017.
December 19, 2017
Moorjani and colleagues describe the implementation of a simulation-based training program for cardiothoracic surgical trainees in the UK and Ireland, which included 10 courses during the six-year training program.
December 16, 2017
The authors demonstrate that, even when we rationally understand which of two choices is more likely to pay off, up to half of us will rely on gut feelings instead.  
November 15, 2017
This interesting article outlines language-related aspects of gender bias and provides some suggestions for mitigation.
October 13, 2017
This study examined risk estimates for complex major surgery by trainees in internal medicine and in general surgery using seven clinical scenarios.  Surgery residents expressed more confidence in their estimates, but were less likely to use published risk models.  Most trainees in both specialties significantly overestimated every type of risk, aver

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