| Abstrakt: |
The measurement of urinary flow is a vital medical indicator for critically ill patients in intensive care units. However, there is a clinical need to automate the real-time measurement of diuresis using Internet of Medical Things devices, allowing continuous monitoring of urine flow. A systematic review of scientific literature, patents, and available commercial products was conducted, leading to the conclusion that there is no suitable device to fulfill this need. We identified six characteristics that such a device should possess: minimizing contact with urine, detecting changes in flow patterns, the ability to record minute-by-minute data, capable of sending early alerts, not relying on exclusive disposable components, and being user-friendly for clinical professionals. Additionally, cost-effectiveness is crucial, encompassing the device, infrastructure, maintenance, and usage. Plain Language Summary: Continuous monitoring of urinary output in intensive care patients provides vital insights, potentially revealing low cardiac output, renal hypoperfusion, or deteriorating renal function. Currently, these measurements are done manually, prompting a need for automated, real-time monitoring using Internet of Medical Things (IoMT) devices. Current automatic urinometers are not widely used due to high costs, maintenance requirements, and logistical complications. However, we propose developing an affordable, updated urinometer that meets clinician needs and can be widely used in hospitals.This innovation would enable early intervention strategies to reverse or improve renal perfusion and prevent potential toxic treatments. The shift from manual to automated monitoring is likely, facilitating real-time data integration such as blood pressure, heart rate, and temperature. This can lead to personalized medical approaches and predictive algorithms for renal function deterioration.As technology, IoMT, big data, and artificial intelligence (AI) evolve, these advancements will be indispensable for hospital medicine, supporting precision medicine and efficient clinical operation. While we cannot predict the definitive method for continuous diuresis measurement, we anticipate the adoption of these technologies in the near future, improving diagnostics and clinical practice. If successful, the application could extend beyond critical care into postoperative or home care, not only for diuresis but for any fluid flow, enabling early pathology identification and potentially revealing diagnostic patterns through AI. [ABSTRACT FROM AUTHOR] |
