System Development for Patient's Physiological Data Storage and Real-time Vital Signs Monitoring

The purpose of this study is to improve the measurement of patient physiological data and the efficiency of data entry. Errors associated with data entry are usually caused by human error. This study also reduces the risk of cross-infection between nurses and patients. The automation of medical information is the goal of future development. The medical policy decision is to be gradually automated. The quality of treatment can be improved by providing medical knowledge to the patients and evaluating relevant medical information. In this study, we integrate five different modules in physiology or medicine used to measure physiological monitoring and the measurement platform. We also use RFID to search and input patient data and medical record numbers instead of doing it manually. The measurement efficiency of patients rose by up to 30%. This study demonstrates the physiological monitoring and measurement platform which can improve the care of patients in the caregiver's measurement of the physiological information and reduce the human input process errors.