Key result
A smart healthcare monitoring system using IoT sensors and a Raspberry Pi was developed to provide low-cost, real-time remote patient monitoring and alert generation.
Why the study?
Continuous health monitoring is vital to assure compliance with policy, clinical practice, and standard procedures, while keeping doctors updated on patient health status.
Describes a low-cost, IoT-based smart healthcare monitoring system using Raspberry Pi and sensors for remote patient monitoring.
May enable remote monitoring in resource-limited settings; hypothesis-generating and requires prospective validation before practice change.
Continuous monitoring of progress of a clinical trial is known as health monitoring. It is to assure compliance with policy, best clinical practice, regulatory norms, and standard operating procedures. Monitoring is vital in several health settings. This creates an environment where physician and patient can engage. The doctor may also be up to date with the current patient’s health status. Sensor initialization is this system's first stage. This project includes of many sensor kinds such as blood pressure sensor, temperature sensor, pulse rate sensor. The sensor is then connected to the Raspberry Pi 3 Model B+ which transmits a signal over the internet allowing the doctor to interact with patient data. All sensor data is stored in a cloud database. If the sensor value exceeds the threshold sensor value and the alert email is sent to the doctor and caretaker, then a precautionary notification is sent to the patient. Doctor and patient can interact through a user application where the doctor can even write the patient's prescription. This approach can monitor several patients in severe conditions and save time. This project provides low-cost monitoring from one's home. This is a secure and reliable project that helps patients worldwide.
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Pradhan et al. (2022) studied this question. Smart Healthcare Monitoring System in an IoT Environment was evaluated. A smart healthcare monitoring system using IoT sensors and a Raspberry Pi was developed to provide low-cost, real-time remote patient monitoring and alert generation.
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