SIGNAL-BASED ANALYSIS OF CLINICAL MICROBIOLOGY

为了实时分析临床微生物学数据集，提出了一种数字信号处理系统的开发。这项代号为BugCruncher的研究项目构成了一套用于感染控制和抗生素耐药性监测的智能工具和数据接口的核心。信号处理的初步结果显示了令人鼓舞的结果：滚动平均的组合过滤器产生的分析清楚地显示了耐药细菌种群的下降趋势，并说明了实时分析的可能性。建议建立与儿童医院微生物学实验室信息系统的标准化接口，允许与世界卫生组织网络合并。将进行研究，以评估各种信号滤波器组合和算法开发。这项研究的潜在成功将作为以医院为基础的监测系统的基础，该系统将使医务人员能够在早期阶段识别和解决疾病爆发，并监测和限制抗菌素耐药性。拟议的商业应用：医院感染和抗菌素耐药性是医院面临的巨大问题。每家医院都有一个感染控制小组，每个小组都必须审查微生物数据根据本文提出的研究建立的一套工具将使医疗机构能够检测趋势并积极抗击感染。

Development of a digital signal processing system is proposed to perform real-time analysis clinical microbiology datasets. This research project, code-named BugCruncher, forms the core of a set of intelligent tools and data interfaces for infection control and antibiotic resistance surveillance. Preliminary results of signal processing indicate encouraging results: combined filters of rolling averages produced analysis that clearly showed the downward trend of a resistant bacterial population and illustrated the possibility of real-time analysis. The building of a standardized interface to the Children's Hospital microbiology Laboratory Information System, allowing merger with WHONET is proposed. Research will be conducted to evaluate various signal filter combinations and algorithm development. The potential success of this research would serve as a foundation for a hospital- based surveillance system that would offer medical personnel ability to identify and resolve disease outbreaks at an early stage and to monitor and limit antimicrobial resistance. PROPOSED COMMERCIAL APPLICATION: Nosocomial infections and antimicrobial resistance are enormous problems for hospitals. Every hospital has an infection control group, and every group must review microbiology data A suite of tools built upon the research proposed herein will enable healthcare facilities to detect trends and actively combat infection.