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IoT Cloud Network for Healthcare
Published in Sanjay Kumar Biswash, Sourav Kanti Addya, Cloud Network Management, 2020
Ashok Kumar Pradhan, E. Bhaskara Santhosh, S Priyanka
Due to rapid growth in information and communication technologies, the building of smart homes and cities becomes a reality. Smart homes and cities take the home and living experience to the next level. One of the major reasons for the development of smart homes and cities is to provide efficient and cost-effective healthcare facilities[100]. This chapter discusses different issues related to Internet of things (IoT) in Cloud network for smart Healthcare. The usage of IoT in healthcare has sharply increased across the industry and personal healthcare sectors. Remote monitoring and telemedicine are the main initiatives in IoT healthcare. More integrated approaches and benefits are sought with a role for the so-called Internet of Healthcare Things (IoHT) or Internet of Medical Things (IoMT). Remote health monitoring (RHM) is the main IoT use case in healthcare. Remote health monitoring and various other IoT use cases in healthcare are the main challenges in healthcare. In a health data context some data from medical devices and monitoring systems ultimately end up in Electronic Healthcare Records (EHR) Systems or in specific applications which are connected with them and send the data to labs, doctors, nurses and other parties involved. Finally, all the EHR are securely saved in the cloud so the doctors, patients and authorized third parties can access the information based on their requirements.
Healthcare Data Monitoring under Internet of Things
Published in Sourav Banerjee, Chinmay Chakraborty, Kousik Dasgupta, Green Computing and Predictive Analytics for Healthcare, 2020
Chinmay Chakraborty, Sanjukta Bhattacharya
Healthcare is an area that is directly associated with human lives, where a small inaccuracy can be very much responsible for a large disaster for a human being. The healthcare industry is concerned with diagnosis, prevention and treatment procedures relating to human health. The healthcare industry depends on three major main components: health-related facilities, such as hospitals or clinics where the diagnosis and other treatments are delivered to the patients, medical experts, such as nurses or doctors or laboratory technicians, and financial firms. The medical experts or professionals are used to serve mainly four types of care, such as primary care where medical experts provide the first level of consultation to the patient, secondary care where highly skilled doctors are required for an acute level of care, tertiary care where advanced health-related investigations along with proper treatments are provided and quaternary care where exceptional and unusual disease diagnosis procedures followed by high-level surgical procedures take place [4]. At these four levels of care, health experts are responsible for generating large amounts of various kinds of medical data, such as the medical history of the patient, clinical data and personal data which is related to health issues. Nowadays, with the help of advanced techniques and applications, digitization is applicable in the storage and collection of all these medical data. In this case, the medical record, which is defined as an electronic health record (EHR), is efficiently used to store, capture, receive, retrieve, transmit and manipulate a patient’s past, present or future mental and physical health data.
Health analytics in business research: a literature review
Published in Journal of Management Analytics, 2023
Quanchen Liu, Mengli Yu, Bingqing Xiong, Zhao Cai, Pengzhu Zhang, Chee-Wee Tan
Fueling the growth of health analytics are recent technological advances that have enabled the collection and generation of huge volumes of valuable data for health-related analysis, assisting physicians, care givers, and patients to comprehend and make sense of health data as needed for diagnosis, treatment, health management, and preventive care (Raghupathi & Raghupathi, 2013). Health analytics has thus been touted as a means for transforming healthcare from a volume- to a value-based system (Khanra et al., 2020; Wu et al., 2016). Indeed, one of the core benefits of health analytics is that it can bolster the effectiveness and efficiency of the entire healthcare delivery process (Ferranti et al., 2010; Kaplan & Porter, 2011). Particularly, health analytics endows a healthcare system with better outcomes (enhanced coordination, reduced time and costs, and better value) while delivering consistent quality care (Ahangama & Poo, 2014). Although healthcare is still plagued by entrenched inefficiencies causing annual wastage of over USD $2 trillion worldwide,2 it has been documented that the Minnesota health care system has realized more than USD $45 million in savings over a five-year period through the deployment of health analytics. In the same vein, the Centers for Medicare and Medicaid Services (CMS) has deployed analytics to reduce hospital readmission rates and avert USD $115 million in fraudulent payments (Ghassemi et al., 2015). Taken together, health analytics is estimated to save the healthcare industry upwards of USD $450 billion annually in the United States (Herland et al., 2014).
A study of the adoption behaviour of an Electronic Health Information Exchange System for a Green economy
Published in International Journal of Logistics Research and Applications, 2021
Prasanta Pattanaik, Urmii Himanshu, Bharat Bhushan, Munish Thakur, Ashis K. Pani
A cloud-based computerised Electronic Health Record (EHR) provides a platform to store an individual’s health data which can be accessed only by authorised people. This system is one such response that covers the needs of all engaged parties, including patients, doctors, clinical staff, insurance companies, health care providers and policy makers without any paper. The challenge looms large as the healthcare sector is under heavy pressure. This is due to regulatory compliance mainly for maintaining the privacy of Protected Health Information (PHI) as well as its contribution to sustainability through ‘GREEN’ practices. Each and every country has its own regulatory act to control PHI but it needs changing the mind-set by creating and using the right technology. That will happen when people get creative and old habits change.
Proposed Data Sanitization for Privacy Preservation in Mobile Computing
Published in Cybernetics and Systems, 2022
Sameer Awasthi, Syed Wajahat Abbas Rizvi
The capacity to quickly and securely transmit huge amounts of data, such as patient clinical records, is one of the many advantages of cloud computing. In order to guarantee that its infrastructure is properly thought out and that they have sufficient opportunity to become familiar with IT and support team, medical providers should leverage digital capabilities in clinics. The benefits of cloud computing and mobile computing include adaptability, affordability, response growth, and cooperation-sharing resources, to name a few. In hospitals that do not have all of the necessary resources to adopt cloud-based services, e-healthcare can indeed be rendered more adaptable. A few of the hospital’s information can only be saved on paper, while the cloud can be utilized to keep more vital information. Access is given to genuine users regardless of their location, and information transfer is safe. Only some users have access to the information, which they may access, discard, and alter as needed or for further purposes. Patients’ health data should be secured from beginning to end, and ensuring patients’ confidentiality whilst maintaining data quality is a major concern. E-healthcare has been already embraced by 90% of healthcare facilities in Australia and several other nations to facilitate optimal healthcare services. “Electronic medical records (EMR), Electronic Health Data (EHD), and Personal Health Records (PHR) are all types of digital medical records” (Mandala and SekharaRao 2019a). Healthcare professionals keep EHR as well as EMR health records, while PHR has been kept by the users or associated family members. This research revealed a system where medical info is just accessible to authorized people.