Wireless Remote Sensing of Changes in Fluid Filled Containers

UCLA researchers have developed a novel device and method for continuous and dynamic monitoring of patient fluids that can be used to quickly detect discrepancies suggestive of complications before or after surgery.

Fluid management is a critical aspect of patient care, particularly for elderly patients and patients pre- and post-surgery. The UK’s Care Quality Commission has described fluid management at many hospitals as “appalling”, with over 1,100 patient deaths in the past ten years due to poor fluid management. Hospitals attribute this poor care due to issues such as inadequate staffing, lack of time, and lack of training. Since fluid management is sensitive and time-intensive, a major challenge is the difficulty to monitor every patient’s fluids to a sufficient level of attention with a finite staff. Trials of remote sensing of patient metrics, such as blood pressure, have been successful in reducing hospital visits and medical costs by increasing accuracy and amount of data, while lowering amount of staff time necessary to take the data. However, for accurate fluid management, staff must measure and analyze the fluids, their flow rates, and their compositions in order to ensure quality care. The development of a technology which can remotely monitor these metrics will reduce the costs, complications, and deaths related to fluid management.

Prof. William Kaiser, Dr. Dieter Enzmann, Dr. Jay Moon Lee and colleagues have developed a novel device and methods for continuous and dynamic monitoring of patient fluids, which can monitor and quantify patient conditions. This technology can be used to quickly detect discrepancies which may be signs of complications before or after surgery. The data collected can be viewed or analyzed on a number of devices, including computers or mobile devices, and would decrease the necessary time for staff to attend patients and measure the necessary data.

Complete system design is accomplished, consisting of elements which have individually proven to be operational.