News
72 Hour Returns: A Trigger Tool for Diagnostic Error
Aug 06, 2017
Patients who return to the Emergency Department (ED) within 72 h of discharge are often used for ED Quality Assurance efforts, however little is known about the yield of this kind of review and the types of errors it identifies. Our objective was to identify the prevalence, types and severity of errors in these cases.
Related Article
Citation for the Full-text Article
Aaronson E, Borczuk P, Benzer T, Mort E, Temin E. 72h returns: A trigger tool for diagnostic error. American Journal of Emergency Medicine. March 2018; 36(3):359-361. http://dx.doi.org/10.1016/j.ajem.2017.08.019
Latest News from CRICO
Get all your medmal and patient safety news here.
Communication Failures Linked to 1,744 Deaths in Five Years, US Malpractice Study Finds
News
STAT News requested exclusive rights to release the first feature article related to CRICO's 2015 Annual Benchmarking Report | Malpractice Risks in Communication Failures.
Multisource Feedback Process Helps Surgeons Assess and Improve Teamwork Skills
News
In Research and Publication
The Journal of American College of Surgeons study reports that a multisource evaluation tool used in other industries is accurate and well-accepted by surgical teams.
The Journal of American College of Surgeons study reports that a multisource evaluation tool used in other industries is accurate and well-accepted by surgical teams.
In the Wake of a New Report on Diagnostic Errors SIDM Invites Collaboration and Policy Action
News
A new report by CRICO and Johns Hopkins Armstrong Institute Center for Diagnostic Excellence provides the first national estimate of permanent morbidity and mortality resulting from diagnostic errors across all clinical settings. The Society to Improve Diagnosis in Medicine (SIDM) works to raise awareness of the burden of diagnostic error as a major public health issue and calls for collaboration and policy action on the issue.
Robot helps nurses schedule tasks on labor floor
News
A CRICO grant helped provide research support for a new system developed by Massachusetts Institute of Technology to assist hospital staff in scheduling room assignments and suggesting which nurses to assign to patients for C-sections and other procedures.