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EN
The development of advanced spatial-positioning systems for medical monitoring and emergency response using RFID and Wi-Fi technologies is a current research focus of many healthcare organizations. The goal of such system is to support real-time location tracking of medical equipments and personnel in hospital settings using RTLS technology. This paper presents a spatial-temporal data analysis based on data collected at the W21C of Foothills Hospital, Calgary, Canada. The collected data, comprising real-time observations and tracking paths, has been used to perform advanced statistical pattern analysis and visualization of work-flow patterns in health care system. From this analysis, we bring forward some insights into medical resource, asset and facility utilization in a clinical care ward of a regional healthcare organization. This gained knowledge could be used as one of the inputs in improving patient care, responsiveness, and infection control practices.
EN
The area of biometric, without a doubt, is one of the most dynamic areas of interest, which recently has displayed a gamut of broader links to other fields of sciences. Among those are visualization, robotics, multidimensional data analysis, artificial intelligence, learning, data fusion and data synthesis. The topic of this keynote is reviewing state-of-the-art in multi-modal data fusion, fuzzy logic and neural networks and its recent connections to advanced biometric research. Application examples are provided.
EN
The development of advanced spatial-positioning and monitoring systems for medical monitoring and emergency response using RFID & Wi-Fi technologies is a large-scale research project being conducted at the ward W21C of Foothills Hospital, Calgary, Canada by University of Calgary. The scope of this project is to support real-time location tracking of medical equipments and personnel in hospital settings. In this context, we developed an innovative, interactive, decision-support medical system for tracking of personnel and high value medical equipments. The goal behind development of such a system is to provide a convenient, easy to use interface using existing technologies that allows to visualize and analyse clinical pathways and health care provider’s workflow pattern as well as to perform time motion studies and more advanced statistical pattern analysis. While achieving this goal, we aim to also fill the existing void of documentation and present to scientific community functional issues encountered along with their importance in success.
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