Real-time Patient Monitoring System to Reduce Medical Error with the help of Database System

In the field of healthcare, continuous data collection and storage with the appropriate visualization tools can be an effective strategy for a wide range of illnesses. As a result of infor-mation gaps or discrepancies, underdeveloped nations and rural areas of wealthy countries experience medical errors, resulting in higher death rates. Using cutting-edge computing and cloud computing technologies alongside database and visualization tools, these problems will be adequately addressed. In addition, it will ensure superior medical care by enabling telehealth and remote monitoring. This study proposes a cloud-based patient monitoring system that can collect and display real-time data from a variety of sensors, including heart rate, electrocardiogram (ECG), blood oxygen level, and body temperature, among others. Minimal effort is required to integrate additional sensors into the device. The ability to store and visualize measured values in the cloud enables this system to mitigate clinical mistakes due to information gaps. With the help of visualization, the patient's state can be monitored by both the central hub physician and the designated physician. In addition, a GSM module will send a warning to the doctor if the critical level is either exceeded or dropped, shortening the time it takes for the doctor to take the necessary steps. The healthcare system as a whole stands to benefit from this prototype gadget.