A Prototype Proposal for AI based Smart Integrated Platform for Doctors and Patients
Punit Jain, Anupam Anand, Mayank Saria, Rashmi Kumari, Priyanka Bothra, Mahamuda Sultana · 2020
With rise in the number of connected devices and availability of the internet even in the remote corners of the world, the health sector is the one that can leverage the benefits of this development and help to provide better services to society. A complete system that can collect, store, and analyze the data of a patient and serve as a huge advantage for the industry as most of the platforms available are not a complete system but rather an individual application. Applications that can help easily connect patients to various hospitals. In the case of healthcare devices like a thermometer, weighing scale, ECG, Heart rate monitor, etc when connected through sensors form the IoT. The data collected is encrypted for cyber security and sent to the server to be stored on a decentralized platform, like Blockchain. Furthermore, Machine Learning models can be used by the doctors to detect diseases before it becomes more problematic for the patient. All this can not only be integrated with an existing IT structure of a hospital but also can be set up anywhere such as medical camps in rural areas. In this paper, the proposal of the model described above is discussed.