MEDICLOUD: a holistic study on the digital evolution of medical data

• Main Authors: Astha Modi (Author), Nandish Bhayani (Author), Samir Patel (Author), Manan Shah (Author)
• Format: Book
• Published: KeAi Communications Co., Ltd., 2022-06-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.
• Notes: 2589-3777; 10.1016/j.dcmed.2022.06.002
• Keywords: Cloud computing; Medical data; Digitalization; One-stop platform; Artifical intelligence (AI); Traditional Chinese medicine (TCM); Medicine; R; Other systems of medicine; RZ201-999
• Source: Digital Chinese Medicine, Vol 5, Iss 2, Pp 112-122 (2022)

The Corona Virus Disease 2019 (COVID-19) pandemic has taught us many valuable lessons regarding the importance of our physical and mental health. Even with so many technological advancements, we still lag in developing a system that can fully digitalize the medical data of each individual and make it readily accessible for both the patient and health worker at any point in time. Moreover, there are also no ways for the government to identify the legitimacy of a particular clinic. This study merges modern technology with traditional approaches, thereby highlighting a scenario where artificial intelligence (AI) merges with traditional Chinese medicine (TCM), proposing a way to advance the conventional approaches. The main objective of our research is to provide a one-stop platform for the government, doctors, nurses, and patients to access their data effortlessly. The proposed portal will also check the doctors' authenticity. Data is one of the most critical assets of an organization, so a breach of data can risk users' lives. Data security is of primary importance and must be prioritized. The proposed methodology is based on cloud computing technology which assures the security of the data and avoids any kind of breach. The study also accounts for the difficulties encountered in creating such an infrastructure in the cloud and overcomes the hurdles faced during the project, keeping enough room for possible future innovations. To summarize, this study focuses on the digitalization of medical data and suggests some possible ways to achieve it. Moreover, it also focuses on some related aspects like security and potential digitalization difficulties.