Cloud Based Effective Health Care Management System With Artificial Intelligence

• Published in: 2022 IEEE 7th International conference for Convergence in Technology (I2CT) pp. 1 - 6
• Main Authors: Vivekananda, G. N., Ali, Abdul Rahman H, Arun, S., Mishra, Praveen, Sengar, Rupal, Krishnamoorthy, R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 07.04.2022
• Subjects: Cloud computing; ECG and heart rate monitoring; Electrocardiography; healthcare; Heart rate; Medical services; multi-sensor; Software; Supply chain management; Wearable computers; wearable devices
• DOI: 10.1109/I2CT54291.2022.9825457

Healthcare is quickly becoming the fastest-growing sector because of its extensive coverage, provision of services, and investment by both public and private organizations. In addition, increased life expectancy, improved healthcare for people, and steep reductions in birth rates have left many affluent countries with an elderly population in need of medical care at a critical time. As a result, many health providers are looking for more inventive and cost-effective solutions to address this rising problem to fulfill the increased demand. Cloud computing can provide some of the answers required to solve these issues. To deliver better healthcare facilities, more healthcare firms are embracing cloud-based software and related services. However, designing a cloud-based health service necessitates a thorough understanding of how such services work and the healthcare industry's requirements. This paper discusses formulating a complete healthcare system that incorporates wearable technology and multi-sensor data fusion. The cloud service has sparked a lot of interest from all corners of academia and a wide range of industrial uses. This research also looks at a cloud-based cyber localization algorithm for observing patients that uses smart phones and wearable devices to collect ECG and heart rate monitoring data in an efficient, real-time and scalable manner.