A Secure Cloud Infrastructure towards Smart Healthcare: IoT Based Health Monitoring
Sirisha Potluri, S. Laxmi Sunaina, P. Neha, Ch. Govind, J. Raghavender, Vinay Gupta · 2021
The magnitude of big data is estimated to grow in the field of healthcare. Big Data when focused on the sector of health care can be best described as structured, unstructured and semi structured way of representing a patient’s personal data such as his/her medical conditions, prescriptions, etc. Handling and processing such huge chunks of data can be a daunting task. To avoid scenarios of this type, many of the healthcare sectors have adapted cloud computing as the solution. Amidst the pandemic such as the novel covid-19, remote working has become the new normal. Healthcare sectors are gradually adapting to the idea of remote treatment also known as telemedicine. A patient’s medical condition has to be coordinated with a team of specialists, nutritionists, nurses, etc. By using cloud computing one can completely avoid a physical interaction, it’s very useful in current situations like covid-19. Hence cloud computing is chosen by many health sectors to receive and store huge chunks of patients data and manage their electronic records. This huge chunk of electronic records helps in the process of mining the data, identifying the patterns and developments in the big data healthcare sector. Main things that are to be taken care of : Privacy related issues and Security related concerns, Dynamically acceptable storage, Regulatory issues , Electronic documents containing patients data, handwritten medical editions ,various images such as X-ray, MRI scan, radiology images, etc. can be retrieved at any time and from any place. This can be an advantage and a disadvantage at the same time. The main challenges involved are failures of the network, security related concerns, and privacy related issues of patient information that is being ill-treated by users/customers, hackers, network downtime, malware, and etc.