A multidisciplinary approach is typically required to address health issues effectively in medical emergencies. Traditional sensor-based diagnostics in healthcare, when applied on a large scale, demand numerous sensors and significant human intervention. To address these challenges, this research proposes an IoT-based healthcare application designed to streamline patient monitoring. The system is built around an online mobile application that enables continuous, wireless observation of patients' health. The primary objective is to develop a cost-effective solution that transmits vital patient parameters during emergencies. Sensors such as ECG monitors, heart rate sensors, and temperature sensors are employed to measure critical health indicators. The collected data is transmitted to the cloud via a microcontroller-connected module for storage on an IoT platform. In the cloud, the data is processed, and relevant feedback is generated, allowing doctors to assess the patient's condition remotely. This remote monitoring reduces the workload on healthcare professionals while ensuring accurate patient health assessments. In cases requiring urgent attention, alerts are sent to caregivers or doctors. This system aids in early intervention and enhances the quality of patient care. The proposed setup has been validated through simulations and various test experiments.