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Top1. Introduction
Cloud computing emerges as the major computing framework, which provides on-demand and pervasive accessibility of various resources, such as infrastructure, storage, software, and hardware. Commercial cloud-based platforms like Amazon web services (AWS), Google cloud platforms (GCP) were used to manage the data in various aspects. The AWS has 33% of the cloud, and GCP has 9% of all clouds (Amazon AWS). The cloud computing framework facilitates organizations to trust third-party Information Technology (IT) services by quitting them from the protracted development of job infrastructure (Ge, et al., 2020 ; Florence, et al., 2019 ; Abbas, et al., 2015). The cloud computing paradigm has gained more potential among various healthcare stakeholders to increase coordination among them and ensure scalability and health information availability. Accordingly, cloud computing incorporates various limitations in healthcare domains, like nursing staff, service providers, clinical laboratory personnel, hospital staff, including doctors, insurance providers, pharmacies, and patients (Athena and Sumathy, 2019 ; Abbas and Khan, 2014). These factors were integrated with the cloud results in the growth of a collaborative and cost-effective health ecosystem. Here, the patients can create and maintain their personal health records (PHRs) (Au et al., 2017). In general, the PHR consists of various information, such as private notes, past surgeries, diagnosis, treatments, laboratory reports, data regarding health insurance claims, demographic information, patients' medical history, and allergies observed from the patient health conditions (Doshi, et al., 2019 ; Zhang, et al., 2019 ; Ali, et al., 2018).(Visalatchi et al., 2017) The resource required for this is allocated based on payment.
The PHR is managed using internet-based tools that allow the user to create and modify the health-based information (Kaelber, et al., 2008). However, health information is considered a lifelong record accessible to the person who has access rights (Chiang, et al., 2020 ; Kaelber, et al., 2008). However, the PHR enables the patient to communicate with the care providers and doctors more effectively to keep the updated health records, seek and inform about the symptoms for making the treatment and diagnosis (Ali, et al., 2018). For the patients, the disease may be caused by another pathogen. In this case, the accuracy of diagnosis gets affected due to the precision of patient health information reported by doctors. The doctors will provide some information to the patient regarding the health issues by querying the patient. It is not effective to assist the diagnosis due to the following reasons: i) The patient may forget the things that happened before, like medical examination or medicine that he or she has taken, and the precision of treatment or diagnosis that he or she had got. ii) The patient cannot describe the treatment or diagnosis due to their limited knowledge that degrades the judgment of the current doctor. Hence, the current doctor cannot produce accurate information regarding the diagnosis. The promising solution used to solve the above issue is to share the patient record to access the doctor's record for improving the diagnosis. When the patient visits some other doctor in the medical institution or the same hospital and the health records related to the patients are recorded in the institution. The doctors can access the health records directly from the area network for the consent of the patient. In practice, the patient can visit different doctors at different medical institutions in terms of varying symptoms. In such a case, the medical institution rejects the doctor to agree with the PHR. Zaghloul, et al., 2019 ; Hema and Kesavan, 2019 ; Zhang and Lin, 2018).