*Indicates High Risk
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Surgeons, nurses, doctors, technicians and others gather in simulators at Harvard to learn teamwork.
Participants say it saves lives, money, and grief. Even skeptics say it’s worth the time and it should be done everywhere.
Generally, the blame is placed on the clinician responsible for the patient when the alleged error occurred, or on the person responsible for the error. Most often, that named defendant is a physician. Less often (but not infrequently) the plaintiff names a nurse. In settings with multi-disciplinary care teams, malpractice cases naming both physicians and nurses as defendants are common.
Collaboration between physicians and nurses is a fundamental element of a patient safety and risk management program. The ability of physicians and nurses to work together as a unified team is essential to improved outcomes, error and risk reduction, and optimum care. CONTINUE READING >
QUICK VIEW Newsletter and Publication
September 26, 2012
Supervising physicians are obliged to know (and share) what risks mid-level provider arrangements may pose to their patients and practice.
QUICK VIEW Article
May 1, 2008
While the PCA Committee’s case reviews had long provided an opportunity to identify nursing issues and system problems related to the cases discussed, its mission (and time constraints) limited the opportunity for an in-depth, thoughtful examination of nursing practice, recognition of practice patterns, and determination of nursing action steps to mitigate patient problems.
May 1, 2006
In this era of busy practices with growing patient panels and attendant paperwork, many successful physicians are looking for assistance with clinical care. Here’s what you need to know about managing the liability that comes with this assistance.
The Triggers Rapid Response process has helped to enhance collaborative communication by standardizing the expectations for response when a patient becomes unstable. The criteria and the naming of the program with the “trigger” phrase provides rule-based communication that eliminates ambiguity in the expected response.
