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Cognitive Science and Technology ; : 151-160, 2023.
Article in English | Scopus | ID: covidwho-2275399

ABSTRACT

Cloud computing is an evolving technology to maintain the database of any system. Data collected from any part of the system will be transferred to the cloud, and it will be retrieved at any point in time. It plays a vital role in biomedical applications, where a huge number of patient records are needed to be maintained. In recent years, we faced an unexpected pandemic condition due to COVID-19 diseases. Routine human life has turned upside down due to it. This disease affects various age groups of people, and the number of patients affected is also growing exponentially, day after day, across the globe. The treatment for this critical illness is not the same for patients of different age levels. Aged people may be already affected by various diseases, whereas middle-aged and children may not be. COVID-19 is getting more vulnerable, and the death rate is increasing. Diagnosing this disease is a tedious task for doctors. Symptoms collected from patients of various ages and the treatment methods offered to them should be appropriately maintained. This may ease out ways to cure the upcoming affected patients. In this paper, we present an overall review of various cloud-based electronic health care recording methods that are currently available. Personal health records (PHRs) are stored on a remote cloud server using these approaches. The selective information will be shared when needed by a physician for diagnosis and treatment. Many new cloud-based systems are developed, which have more secure and safe data transfer compared to the conventional client–server model. Security is the most concerned parameter for the emerging cloud technologies as PHRs are to be maintained confidentially. The various existing cloud-based models are reviewed in the aforementioned aspect. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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