In case of sudden-onset disasters (SODs), the World Health Organization deploys specialized emergency medical teams (EMTs); yet, the coordination and operation of such teams pose significant challenges. One issue is the lack of digital information systems and standards. We developed a highly customizable and scalable electronic medical record (EMR) system, tailored to EMT requirements, called the "Emergency Medical Team Operating System" (EOS). EOS was successfully tested through 9 realistic clinical tasks during a full-scale EU Module Exercise. During the initial evaluation, 21 team members from 9 countries evaluated the system positively, stressing the urgent need for an EMR for EMTs. EMTs face unique challenges during disaster relief missions. To provide an effective and coordinated delivery of care, there is a great need for an EMR tailored to the specific needs of EMTs. EOS may serve as an effective EMR during SOD missions.
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http://dx.doi.org/10.1093/jamiaopen/ooac106 | DOI Listing |
Int J Surg
January 2025
Department of Trauma and Emergency Surgery, Chang Gung Memorial Hospital, Linkou; Chang Gung University, Taoyuan, Taiwan.
Background: Detecting kidney trauma on CT scans can be challenging and is sometimes overlooked. While deep learning (DL) has shown promise in medical imaging, its application to kidney injuries remains underexplored. This study aims to develop and validate a DL algorithm for detecting kidney trauma, using institutional trauma data and the Radiological Society of North America (RSNA) dataset for external validation.
View Article and Find Full Text PDFJAMA Intern Med
January 2025
Harvard Medical School, Boston, Massachusetts.
JAMA Intern Med
January 2025
Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
Importance: There are no validated decision rules for terminating resuscitation during in-hospital cardiac arrest. Decision rules may guide termination and prevent inappropriate early termination of resuscitation.
Objective: To develop and validate termination of resuscitation rules for in-hospital cardiac arrest.
Cerebellum
January 2025
Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, USA.
Deep brain stimulation (DBS) for essential tremor is remarkably effective, leading to over 80% reduction in standardized tremor ratings. However, for certain types of tremor, such as those accompanied by ataxia or dystonia, conventional DBS targets have shown poor efficacy. Various rationales for using cerebellar DBS stimulation to treat tremor have been advanced, but the varied approaches leave many questions unanswered: which anatomic target, stimulation settings, and indications seem most promising for this emerging approach.
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