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[Retracted] Access and Emergency Medical Care for Massive or | 114112

सामान्य चिकित्सा: खुली पहुंच

आईएसएसएन - 2327-5146

अमूर्त

[Retracted] Access and Emergency Medical Care for Massive or Multiple Injuries

Basri Lenjani, Nehat Baftiu, Blerim Krasniqi, Mentor Karemani, Shpresa Makolli, Dardan Lenjani, Verica Mišanović, Kenan Ljuhar, Erolind Dermaku, Erza Voca Mulaj, Sadije Ismaili, Agron Dogjani

Access and emergency medical care for massive or multiple injuries is a comprehensive interdisciplinary challenge. Taking care of the growing causes of emergency care levels as well as cross-sectoral collaboration in the management of multiple incidents, reducing disease, disability, and mortality in the population with multiple disorders. A disaster or extraordinary situation with mass casualties is a state in which the health care system is overloaded and the ability to provide emergency health care is considerably hindered. This review aims to present the current state of knowledge on what we, the authors, say are the central aspects of trauma management of mass casualty incidents. Emergency planning and methodology are related to accidental states, elementary medical staff disasters, medical equipment, drilling material, concretizing assessment tools, monitoring, and mass incident prevention. In terms of implementing a good action plan, effective collaboration between state agencies such as fire departments and law enforcement is necessary for identifying and directing critically ill patients to designated trauma centers. The integration of emergency systems for incident management, through providing resources like medical equipment, drugs, auto ambulances, ongoing education, and training. This has the impact of increasing knowledge of medical emergency procedures that would help reduce the risk of consequences of mass incidents. When applied to MCI responses, damagecontrol principles reduce resource utilization and optimize surge capacity, consequently reducing the rate of mortality.

अस्वीकृति: इस सारांश का अनुवाद कृत्रिम बुद्धिमत्ता उपकरणों का उपयोग करके किया गया है और इसे अभी तक समीक्षा या सत्यापित नहीं किया गया है।