The Future of Healthcare is in the Cloud

"Cloud" is a symbolic definition of Internet storage that can be accessed everywhere. This technology is swiftly gaining fame.1 Cloud computing is the state-of-the-art modernization in Information Technology (IT) and has provided a substitute mode for managing and accessing health data. It caters to various computing services such as intelligence, servers, storage, databases, networking, software, and analytics. Cloud computing administers fast modernization, flexible resources, and a range of economies. It is a colossal change from the traditional method due to its cost-effectiveness, high speed, security, global scale, performance, productivity, and reliability.2 Nowadays, hospitals/clinics successfully address patients needs through the cloud, and tech-savvy healthcare professionals are switching to this advancement for its benefits.3 Furthermore, it is an important step to move health systems and data to the cloud as it has achieved popularity during the pandemic. Cloud computing is accomplishing innovative systems to attain patient portals, offering interoperability and a protective way for important data to be transmitted quickly and efficiently anytime and everywhere. 4 Moreover, experts have predicted that cloud computing can improve services in healthcare and assets in healthcare research that have changed the appearance of information technology (IT).5 Because of these gains, there is a boost in the adoption of cloud computing to establish more satisfaction among patients and healthcare providers with low costs.6 Many healthcare systems still rely on old software systems. Healthcare workers' access to data such as electronic health records (EHR), patients' prescriptions, test results, and images/scans are more equipped to diagnose and identify the good management course. Decisions regarding large amounts of information help researchers and healthcare professionals identify patterns, and clues, uncover insights and provide evidence-based management.7 As a result of the cloud, the healthcare industry is regulated, and it makes sense that the first wave of moves to the cloud is those that have no direct impact on patient care. Healthcare providers are now comfortable with the impressive benefits of the cloud. The next wave of migration of information seems to be quicker and easier. Furthermore, telemedicine is the next strong contender for modernization in the future. A survey estimated that approximately 70 per cent of face-to-face interactions with the medical care provider did not require a routine appointment. A fraction of these interactions, telemedicine, would end in significant cost-effective healthcare delivery. It is a key objective for healthcare providers as insurers, and consumer costs would continue to arise. Another significant rise is patient empowerment tools which are cloud benefits as cloud-based applications (CBA) on smartwatches that help those with health-related chronic diseases, regular monitoring, and daily management. These are nutrition, exercise, medication reminders, and blood glucose monitoring that can be easily tracked through CBA, providing a platform for doctors to improve patient’s management further. Bettering outcomes, increased efficiency, and cost-effectiveness via CBA are important components that impact the healthcare system.8 Compliance and security are the main barriers to implementing community cloud in Pakistan’s healthcare system, and the challenges are fat.9 Pakistan’s medical system is still in the initial stages of shifting to this new technology. Healthcare information, X-Rays, medications, and patient history of government and non-government health services are increasing significantly in size, diversity, and rate in this country. 10 The demand for cloud services in Pakistan is improving daily.11 To sharpen and enhance the healthcare model of the health system, cloud-based solutions provide flexibility. Today, hospitals and physicians are gathering more information from patients and places due to this advancement. Virtual care services have grown over the past year when and where patients receive care. Doctors and physicians now have regular access to patient’s information from smartwatches that help update a patient’s treatment. Health information systems (HIS) and Health Management systems (HMS) have all the data for improving patient healthcare delivery connected across the healthcare continuum, and almost all healthcare providers have moved to the cloud. Historically it was a challenging process. The command of the cloud in healthcare is innovative in storing health information. It regards permission for the right care at the right time and place. CBS also provides a secure, integrated, and scalable foundation that supports a patient's health information within healthcare premises to develop the changes needed for tomorrow. HMS will provide a cost-effective and secure platform that will be important for data integrity and high-performance data replication for evidence-based decision and management

A systematic literature review of cloud computing in eHealth

Cloud computing in eHealth is an emerging area for only few years. There needs to identify the state of the art and pinpoint challenges and possible directions for researchers and applications developers. Based on this need, we have conducted a systematic review of cloud computing in eHealth. We searched ACM Digital Library, IEEE Xplore, Inspec, ISI Web of Science and Springer as well as relevant open-access journals for relevant articles. A total of 237 studies were first searched, of which 44 papers met the Include Criteria. The studies identified three types of studied areas about cloud computing in eHealth, namely (1) cloud-based eHealth framework design (n=13); (2) applications of cloud computing (n=17); and (3) security or privacy control mechanisms of healthcare data in the cloud (n=14). Most of the studies in the review were about designs and concept-proof. Only very few studies have evaluated their research in the real world, which may indicate that the application of cloud computing in eHealth is still very immature. However, our presented review could pinpoint that a hybrid cloud platform with mixed access control and security protection mechanisms will be a main research area for developing citizen centred home-based healthcare applications

Towards distributed architecture for collaborative cloud services in community networks

Internet and communication technologies have lowered the costs for communities to collaborate, leading to new services like user-generated content and social computing, and through collaboration, collectively built infrastructures like community networks have also emerged. Community networks get formed when individuals and local organisations from a geographic area team up to create and run a community-owned IP network to satisfy the community’s demand for ICT, such as facilitating Internet access and providing services of local interest. The consolidation of today’s cloud technologies offers now the possibility of collectively built community clouds, building upon user-generated content and user-provided networks towards an ecosystem of cloud services. To address the limitation and enhance utility of community networks, we propose a collaborative distributed architecture for building a community cloud system that employs resources contributed by the members of the community network for provisioning infrastructure and software services. Such architecture needs to be tailored to the specific social, economic and technical characteristics of the community networks for community clouds to be successful and sustainable. By real deployments of clouds in community networks and evaluation of application performance, we show that community clouds are feasible. Our result may encourage collaborative innovative cloud-based services made possible with the resources of a community.Peer ReviewedPostprint (author’s final draft

Reporting an Experience on Design and Implementation of e-Health Systems on Azure Cloud

Electronic Health (e-Health) technology has brought the world with significant transformation from traditional paper-based medical practice to Information and Communication Technologies (ICT)-based systems for automatic management (storage, processing, and archiving) of information. Traditionally e-Health systems have been designed to operate within stovepipes on dedicated networks, physical computers, and locally managed software platforms that make it susceptible to many serious limitations including: 1) lack of on-demand scalability during critical situations; 2) high administrative overheads and costs; and 3) in-efficient resource utilization and energy consumption due to lack of automation. In this paper, we present an approach to migrate the ICT systems in the e-Health sector from traditional in-house Client/Server (C/S) architecture to the virtualised cloud computing environment. To this end, we developed two cloud-based e-Health applications (Medical Practice Management System and Telemedicine Practice System) for demonstrating how cloud services can be leveraged for developing and deploying such applications. The Windows Azure cloud computing platform is selected as an example public cloud platform for our study. We conducted several performance evaluation experiments to understand the Quality Service (QoS) tradeoffs of our applications under variable workload on Azure.Comment: Submitted to third IEEE International Conference on Cloud and Green Computing (CGC 2013

Medical data processing and analysis for remote health and activities monitoring

Recent developments in sensor technology, wearable computing, Internet of Things (IoT), and wireless communication have given rise to research in ubiquitous healthcare and remote monitoring of human\u2019s health and activities. Health monitoring systems involve processing and analysis of data retrieved from smartphones, smart watches, smart bracelets, as well as various sensors and wearable devices. Such systems enable continuous monitoring of patients psychological and health conditions by sensing and transmitting measurements such as heart rate, electrocardiogram, body temperature, respiratory rate, chest sounds, or blood pressure. Pervasive healthcare, as a relevant application domain in this context, aims at revolutionizing the delivery of medical services through a medical assistive environment and facilitates the independent living of patients. In this chapter, we discuss (1) data collection, fusion, ownership and privacy issues; (2) models, technologies and solutions for medical data processing and analysis; (3) big medical data analytics for remote health monitoring; (4) research challenges and opportunities in medical data analytics; (5) examples of case studies and practical solutions