RFID & RTLS in Healthcare Symposium: Using Data Analytics to Improve Patient Care and Safety
NFC, RFID, RTLS, Sensors & Wireless technologies are a key enabler of the “Intelligent Hospital” – the visionary healthcare environment for better patient treatment, staff management and facilities utilization. Achieving this operational state requires an integrated approach to efficient data collection, timely information assembly and valuable knowledge extraction – an essential “value chain” for effective decision making. This symposium explores the latest Auto-identification /data capture solutions and related implementation best practices to build the necessary technology bridges between data capture, aggregation, management, analytics and utilization. Learn how to assemble the people, process and technology buildings blocks that are making this vision a viable reality today. Session will include a review of the fundamentals of these technologies, as well as case studies of how results are being achieved –and challenges overcome – in progressive healthcare institutions around the world.
After attending this program, attendees will:
- Outline the comprehensive range of NFC, RFID, RTLS, Sensors & Wireless technologies used to build various Intelligent Hospital data analytics solutions
- Describe how a wide variety of end-to-end solutions are structured using Auto-identification components with various wireless networks, middleware and healthcare systems
- Discuss the latest best practices in data capture and analytics that have been successfully deployed in both hospital and extended health care settings
- Analyze both the strengths and limitations of various data collection/management solutions as they apply to various healthcare environments
- Explain how to leverage the holistic “people, process and technology” case example lessons gathered from leading solution implementations to chart a next steps course for their own organization
For information on Continuing Education credit, please visit our Continuing Education Credit page.
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