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Assessment of Circulatory Dysfunction by Automated Processing of Vital Signs Data.
| 题名： | Assessment of Circulatory Dysfunction by Automated Processing of Vital Signs Data. |
| 作者： | Reisner, A. T. |
| 关键词： | Decision support systems, Patient care, Health services, Combat casualty care, Decision aids, Algorithms, Data analysis, Physiological monitoring, Vital signs, Emergency medicine, Automation |
| 摘要： | Background: Casualty care is challenging because caregivers may be inexperienced, or distracted by environmental dangers or multiple casualties. Objective: To provide clinical data for development and validation of a system that executes, in real time, automated decision-assist tools that accurately identify key trauma patient conditions and guide relevant life-saving interventions. This system will be comprised of novel artificial intelligence algorithms that only rely on data measured by standard patient transport monitors. Specific Aims: We will validate a, fully functional prototype of the decision-assist system, which can be provided to an industry partner for full productization. Study Design: We will prospectively trial these algorithms by making use of our operational, IRB-approved plug-and-play system for clinical field-testing of algorithms, presently in use on board Boston Medflight helicopters and the MGhEmergency Dept. Relevance: Because the necessary medical instrumentation, i.e., a standard travel monitor, is so veryfamiliar to caregivers, these decision-assistance capabilities could be broadly deployed with a relative minimum ofadditional training, hardware acquisition, and up-front buy-in by clinicians. |
| 报告类型： | 科技报告 |
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