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This paper introduces the design and development of a light-weighted medical equipment management system in hospital based on structured information flow architecture, to collect and analyze data in medical equipment lifecycle management processes. It applies co-operative work flows both online and off-line to achieve high quality data collection, and to increase the efficiency for clinical personals and clinical engineers. This system manages to apply the UDI system, implements the intelligent access to medical equipments, uses data analysis to provide intelligent services. It will boost the quality control management and information construction synchronously.

A non-invasive and portable apparatus is designed for the early detection of vascular stiffness in community use. The device is based on embedded system. It collects electro- cardiograph (ECG) and plethysmograph (PPG) signals from human body, calculates characteristic parameters that reflect the state of the blood vessel and displays them on LCD real-time. Also, a network communication module is integrated for transmitting the signals and results to the database in hospitals through Internet. The preliminary results show that Pulse Wave Velocity (PWV) and Augmentation Index (AI) are closely related to Age and Systolic Blood Pressure (SBP), which demonstrates that the developed device has the ability to indicate the vessel stiffness.