SCH: EXP: Continuous Patient Monitoring in the Emergency Department: A Wearable Device Technology Enabled Dynamic Decision Support Model

拟议的探索性项目的目标是开发一个动态数学决策支持(DS)模型，用于急诊科(ED)患者的优先排序。这一模型将把实时收集患者生命体征的可穿戴设备的使用与决策理论相结合，以应对患者在等待期间的变化。这项研究将重点放在通过将数学模型与紧急情况严重性(ESI)指数和可穿戴设备合并来设计和应用集成决策系统。拟议的探索性项目的目标是开发一个动态数学决策支持(DS)模型，用于急诊科(ED)患者的优先排序。技术和决策理论的结合可以帮助减少分诊护士决策过程中固有的不确定性。数学模型将多属性效用理论(MAUT)与模糊逻辑和决策树相结合，以紧急情况严重程度指数(ESI)为基线预测患者的危急程度和优先级。此外，MAUT模型将得到增强，以纳入随时间变化的属性。可穿戴设备将被用于实时收集患者的生命体征；这些信息将被整合到数学决策模型中，以帮助护士进行数据收集、分析、分类和呈现。将以有意义的方式向护士提供有关患者状态的有组织的信息，使他们能够注意到患者状态的任何重大变化并做出反应。这项研究将有助于分诊过程，特别是在极其繁忙的急诊室，重新评估即使不是不可能，也是困难的，将患者置于未被发现的恶化风险中。项目Webpage:http://www.montana.edu/dclaudio/SCHEXP.html

The objective of the proposed exploratory project is to develop a dynamic mathematical decision support (DS) model for patient prioritization in the Emergency Department (ED). This model will integrate the use of wearable devices that collect patients' vital signs in real time and decision theory to account for patients' changes while they wait. The research will focus on the design and application of integrated systems for decision making by merging the mathematical models with the Emergency Severity (ESI) Index and wearable devices. The objective of the proposed exploratory project is to develop a dynamic mathematical decision support (DS) model for patient prioritization in the Emergency Department (ED). The coupling of technology and decision theory can help reduce the level of uncertainty that is inherent to the decision making process of triage nurses. The mathematical models will combine Multi-attribute Utility Theory (MAUT) with fuzzy logic and decision trees to predict patients' criticality and priority using the Emergency Severity Index (ESI) as baseline. In addition, the MAUT model will be enhanced to incorporate attribute changes over time. Wearable devices will be used to collect patients' vital signs in real time; this information will be integrated into mathematical decision models to assist nurses in data gathering, analysis, sorting and presentation. Nurses will be presented with organized information regarding the status of the patients in a meaningful manner that would allow them to notice and respond to any significant changes in patients' status. This research will aid the triage process, especially in extremely busy emergency rooms where re-assessment is difficult if not impossible, putting patients at risk for undetected deterioration. Project Webpage:http://www.montana.edu/dclaudio/SCHEXP.html