Post-procedural bleeding is commonly encountered in any acute-care hospital. However, when bleeding occurs and it is not discovered in time, it can potentially lead to serious long term consequences or even death. A common clinical scenario with potential risk of bleeding is with patients with kidney failure undergoing dialysis. During dialysis, tubings or catheters are inserted into large central veins of patients, through which blood is cycled through a hemodialysis machine. Upon completion of treatment course, the catheters are removed and the wound site is manually inspected for post-procedural bleeding at regular intervals. In between these discrete interval inspections, life-threatening catastrophic bleeding can occur. In the United States of America (USA), more than 175,000 are at risk per year and an estimated 350,000 nursing-hours at a cost of USD11.4 million per year are required to perform checks intermittently. While there are a few commercial devices marketed as blood detectors, they do not specifically detect blood but rely on the generic conductivity property of fluids. Current devices not only require the sensor to be in direct contact, it is also unreliable and susceptible to false alarms from natural bodily discharge (urine, sweat) and accidental spillage of liquids.
The team aims to develop a real-time blood detection device which can continuously monitor wounds for bleeding. The reliability of the device will be validated with pre-clinical and clinical data.
Principal Investigator: Dr Chionh Chang Yin
Institution: CHANGI GENERAL HOSPITAL
NHIC Ref: NHIC-I2D-1608124