Proactive and Intelligent Healthcare Management Using IoT

Healthcare aims at enhancing the quality of life and is an important field that every country invests in. Improving the health care system will result in better health for the general population. A population with better health will result in higher gross domestic happiness and will accelerate the productivity and growth of the country. The traditional health care system has fragmented integration across different related sub-systems, which often rely on proprietary manual and semi-automated approaches of information exchange. The amount of data that is captured and exchanged is limited by the manual processes around these sub-systems. The quality of health care can be significantly enhanced by applying the latest technical advancements like Internet of Things. Internet of Things (IoT) is a system of internet-connected objects that exchange information between each other without human intervention. The use of IoT applications in Health care will allow for the automated capture and exchange of rich information between patients, medical professionals, and hospitals, allowing intelligent high quality medical services to be rendered. The proposed architecture introduces IoT -enabled medical devices embedded across several sub-systems that transmit meaningful data to a central system. This central system hosts the brain of the solution, which analyzes the data, provides insights, and recommends meaningful actions. This system not only defines a model to collect the data and generate insights from it, but it also ties the hospital management and doctors together so that proper care can be delivered comprehensively. Apart from comprehensive integration, this system also has an “AI powered learning and suggestion system” which takes inputs from the doctors and medical practitioners, noting the effectiveness of the treatment as they treat the patients. the “AI powered learning and suggestion system” constantly evolves by learning from this input and updates the future recommendations to doctors and patients that are applying the learnings. The architecture suggests a mostly hands-free system that will help the health care system to function efficiently, even during times like the pandemic. Integrating IoT into the health care system drastically simplifies the model of patient monitoring and increases the efficiency at which services can be rendered. This will also result in reduction and optimization of cost and will make healthcare more affordable, which is especially helpful to people in rural areas where access to quality hospitals and medical facilities is not within reach. As an extension, the application of AI and ML on the rich data that is stored will power new capabilities like disease prediction, treatment efficacy prediction, etc.