Triana Rivera-Nichols, Scott Evans, Alexander McKenzie, Holly H Pavliscsak, Richard L Barnhill
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The Telemedicine and Advanced Technology Research Center (TATRC) and Madigan Army Medical Center (MAMC) have partnered to explore the feasibility of prototype clinical decision support system (CDSS) Chatbot solutions that feature ML and AI to aid combat medics in clinical protocols and treatment.</p><p><strong>Materials and methods: </strong>The current analysis has 3 phases: Phase 1: Available commercial off the shelf (COTS) options were evaluated to determine which COTS technologies were capable of functioning under Delayed/Disconnected, Intermittently Connected, Low-Bandwidth (DIL) MDO conditions. Phase 2: CDSS Chatbot algorithms were trained by the Algorithm Directed 2020 US Army MEDCOM Algorithm-Directed Troop Medical Care (ADTMC) protocols and validated against historical anonymized patient data from previous projects. Phase 3: Chatbot prototype will be integrated with hands-free headset technologies that will be interconnected with the hardware and software solutions acquired in Phase 1. The final prototype will be tested in DIL conditions.</p><p><strong>Results: </strong>Based on the needs assessment conducted in Phase 1, the solutions that offered portable, rugged, and secure devices in DIL/MDO conditions were the Amazon Web Services (AWS) Development Kit (software), AWS Snowball (hardware), Amazon Echo 10 (hands free), and Microsoft HoloLens (hands free) technologies. At the time of this abstract, prototype hardware and software integration into the hands free input devices, Echo 10 and HoloLens, are ongoing.</p><p><strong>Conclusions: </strong>This effort includes development, systematic assessment, and leveraging existing CDSS clinical algorithms into Chatbot enhanced CDSS prototypes that specifically focus on utilizing hands free inputs to provide appropriate medical guidance for casualty treatment.</p>","PeriodicalId":18638,"journal":{"name":"Military Medicine","volume":"190 Supplement_2","pages":"829-836"},"PeriodicalIF":1.1000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Investigation and Analysis of Available Chatbot Technologies to Integrate in Multi-Domain Operational, Delayed/Disconnected, Intermittently Connected, Low-Bandwidth Conditions.\",\"authors\":\"Triana Rivera-Nichols, Scott Evans, Alexander McKenzie, Holly H Pavliscsak, Richard L Barnhill\",\"doi\":\"10.1093/milmed/usaf359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Introduction: </strong>Paper-based clinical protocols and treatments have been historically used by combat medics to treat injuries and optimize survival. 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引用次数: 0
摘要
简介:基于纸张的临床协议和治疗方法历来被战斗医务人员用于治疗损伤和优化生存率。有必要用数字过程取代这些历史方法,使作战空间现代化。随着人工智能/机器学习(AI/ML)的进步,聊天机器人交互具有为多域作战(MDO)中的军事供应商提供关键能力的潜力,可以在连接减少或被拒绝时执行。聊天机器人是自主的,还可以改进损伤点治疗、基于协议的患者护理程序、病史和当前数据。远程医疗和先进技术研究中心(TATRC)和Madigan陆军医疗中心(MAMC)合作探索原型临床决策支持系统(CDSS)聊天机器人解决方案的可行性,该解决方案以ML和AI为特色,帮助战斗医务人员进行临床协议和治疗。材料和方法:目前的分析有三个阶段:第一阶段:评估可用的商用现货(COTS)选项,以确定哪些COTS技术能够在延迟/断开,间歇连接,低带宽(DIL) MDO条件下发挥作用。第二阶段:CDSS聊天机器人算法由算法指导的2020年美国陆军MEDCOM算法指导的部队医疗(ADTMC)协议进行训练,并根据以前项目的历史匿名患者数据进行验证。第三阶段:聊天机器人原型将集成免提耳机技术,该技术将与第一阶段获得的硬件和软件解决方案互联。最终原型机将在DIL条件下进行测试。结果:根据第一阶段进行的需求评估,在DIL/MDO条件下提供便携式、坚固耐用和安全设备的解决方案是Amazon Web Services (AWS) Development Kit(软件)、AWS Snowball(硬件)、Amazon Echo 10(免提)和Microsoft HoloLens(免提)技术。在这个抽象的时候,原型硬件和软件集成到免提输入设备Echo 10和HoloLens,正在进行中。结论:这项工作包括开发、系统评估和利用现有的CDSS临床算法到Chatbot增强的CDSS原型中,该原型特别侧重于利用解放双手的输入为伤员治疗提供适当的医疗指导。
Investigation and Analysis of Available Chatbot Technologies to Integrate in Multi-Domain Operational, Delayed/Disconnected, Intermittently Connected, Low-Bandwidth Conditions.
Introduction: Paper-based clinical protocols and treatments have been historically used by combat medics to treat injuries and optimize survival. There is a need to replace these historical methods with digital processes to modernize the battlespace. With advances in artificial intelligence/machine learning (AI/ML), Chatbot interactions hold the potential to provide critical capabilities for military providers in Multi-Domain Operations (MDO), performing when connectivity is diminished or denied. Chatbots are autonomous, can also refine point of injury treatment, protocols-based patient care procedures, medical history, and current data. The Telemedicine and Advanced Technology Research Center (TATRC) and Madigan Army Medical Center (MAMC) have partnered to explore the feasibility of prototype clinical decision support system (CDSS) Chatbot solutions that feature ML and AI to aid combat medics in clinical protocols and treatment.
Materials and methods: The current analysis has 3 phases: Phase 1: Available commercial off the shelf (COTS) options were evaluated to determine which COTS technologies were capable of functioning under Delayed/Disconnected, Intermittently Connected, Low-Bandwidth (DIL) MDO conditions. Phase 2: CDSS Chatbot algorithms were trained by the Algorithm Directed 2020 US Army MEDCOM Algorithm-Directed Troop Medical Care (ADTMC) protocols and validated against historical anonymized patient data from previous projects. Phase 3: Chatbot prototype will be integrated with hands-free headset technologies that will be interconnected with the hardware and software solutions acquired in Phase 1. The final prototype will be tested in DIL conditions.
Results: Based on the needs assessment conducted in Phase 1, the solutions that offered portable, rugged, and secure devices in DIL/MDO conditions were the Amazon Web Services (AWS) Development Kit (software), AWS Snowball (hardware), Amazon Echo 10 (hands free), and Microsoft HoloLens (hands free) technologies. At the time of this abstract, prototype hardware and software integration into the hands free input devices, Echo 10 and HoloLens, are ongoing.
Conclusions: This effort includes development, systematic assessment, and leveraging existing CDSS clinical algorithms into Chatbot enhanced CDSS prototypes that specifically focus on utilizing hands free inputs to provide appropriate medical guidance for casualty treatment.
期刊介绍:
Military Medicine is the official international journal of AMSUS. Articles published in the journal are peer-reviewed scientific papers, case reports, and editorials. The journal also publishes letters to the editor.
The objective of the journal is to promote awareness of federal medicine by providing a forum for responsible discussion of common ideas and problems relevant to federal healthcare. Its mission is: To increase healthcare education by providing scientific and other information to its readers; to facilitate communication; and to offer a prestige publication for members’ writings.