During Herrick 19, Main Operating Base Price Role 1 treatment facility saw one of the busiest periods of Role 1 trauma care within the British Afghanistan campaign. Within 5 months 73 trauma casualties were treated, 48 of whom were category A. This article shares the experiences of this Role 1 and its unusual context, and discusses the relevance with regard to future medical planning. The focus is on the human element; a fundamental of all military operations yet one that is often overlooked. We consider the team construct and the team members of Role 1 and suggest how this team and its leaders can be optimally prepared, supported and maintained, and then safely disassembled. We also consider how best this team can be placed within the battle group formation in order to provide the highest standard of care.
We discuss dynamic real-time analysis from multimodal data fusion for contextual risk identification to generate "Risk Maps" for the workplace, resulting in timely identification of hazards and associated risk mitigation. It includes new machine/deep learning, analytics, methods, and its applications that deal with the unconventional data collected from pictures, videos, documents, mobile apps, sensors/ Internet of Things, Occupational Safety and Health Administration (OSHA) rules, and Building Information Model (BIM) Models. Specifically, we describe a number of advances and challenges in this field with applications of computer vision, natural language processing, and sensor data analysis. Applications include automated cause identification, damage prevention, and disaster recovery using current and historical claims data and other public data. The methods developed can be applied to any given situation with different groups of people, including first responders. Finally, we discuss some of the important nontechnical challenges related to business practicality, privacy, and industry regulations.
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