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Healthcare and NHS faces many challenges in monitoring health conditions specially for patients with long term health conditions and the elderly. The forward view for healthcare providers and the NHS is moving from the hospital routine medical checks towards home environment care with the use of smart IoT and AI. Medication errors and missed medication across the globe, is the main source of harm to the public health. Technologies, specifically wireless health technologies are potential solutions for medication error and medication nonadherence in tracking patients’ medication. This paper presented a solution by developing a real-time wireless sensor network to monitor and check patient’s health condition using devices that transmits data from homes wirelessly to the relevant (caregiver, GP, Hospitals and specialist doctors). The proposed system benefits form the use of algorithms, which is used to provide the quality and quick health care advice to the patients at home. The algorithm processes the data from the database webserver. The database stores the patient health history conditions with all measurement obtained from the devices, such as blood pressure, blood glucose, heart rate and body temperature. This data is processed in machine learning algorithm to generate notifications for any changes occur in user’s health and by checking their history records. ML can detect patterns within patient healthcare records and inform clinicians of any anomalies.

Intelligent Healthcare Platform Solution and Medication Management System for Elderly People with Long Term Health Conditions