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Establishing a High Throughput Epidermal Spheroid Culture System to Model Keratinocyte Stem Cell Plasticity

Epithelial dysregulation is a node for a variety of human conditions and ailments, including chronic wounding, inflammation, and over 80% of all human ...

Vanderbilt University Medical Center

Clinical documentation in the pre-hospital setting is challenged by limited resources and fast-paced, high-acuity. Military and civilian medics are responsible for performing procedures and treatments to stabilize the patient, while transporting the injured to a trauma facility. Upon arrival, medics typically give a verbal report from memory or informal source of documentation such as a glove or piece of tape. The development of an automated documentation system would increase the accuracy and amount of information that is relayed to the receiving physicians. This paper discusses the 12-week deployment of an Automated Sensing Clinical Documentation (ASCD) system among the Nashville Fire Department EMS paramedics. The paper examines the data collection methods, operational challenges, and perceptions surrounding real-life deployment of the system. Our preliminary results suggest that the ASCD system is feasible for use in the pre-hospital setting, and it revealed several barriers and their solutions.

Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System.

Current methods of communication between the point of injury and receiving medical facilities rely on verbal communication, supported by brief notes and the memory of the field medic. This communication can be made more complete and reliable with technologies that automatically document the actions of field medics. However, designing state-of-the-art technology for military field personnel and civilian first responders is challenging due to the barriers researchers face in accessing the environment and understanding situated actions and cognitive models employed in the field.

Understanding the Information Needs and Context of Trauma Handoffs to Design Automated Sensing Clinical Documentation Technologies: Qualitative Mixed-Method Study of Military and Civilian Cases.

Article	Year
Feasibility Assessment of a Pre-Hospital Automated Sensing Clinical Documentation System. AMIA ... Annual Symposium proceedings. AMIA Symposium\| PubMed ID: 32308817	2019
Understanding the Information Needs and Context of Trauma Handoffs to Design Automated Sensing Clinical Documentation Technologies: Qualitative Mixed-Method Study of Military and Civilian Ca... Journal of medical Internet research\| PubMed ID: 32975522	2020

Sean M. Bloos

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