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العنوان
A Cloud Computing-based Reference Architecture for Smart
Healthcare Services /
المؤلف
Salib, Dalia Kamal Abd Alla Rizk.
هيئة الاعداد
باحث / داليا كمال عبد الله رزق صليب
مشرف / عبد البديع محمد سالم
مشرف / السيد محمد الهربيطي
مشرف / هدي محمد حسني
تاريخ النشر
2023.
عدد الصفحات
137 P. :
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
Computer Science (miscellaneous)
تاريخ الإجازة
1/1/2023
مكان الإجازة
جامعة عين شمس - كلية الحاسبات والمعلومات - قسم علوم الحاسب
الفهرس
Only 14 pages are availabe for public view

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from 137

Abstract

Healthcare services play an important role in our daily lives since the start of mankind. Researchers and practitioners are always looking for improving and enhancing the healthcare services. The introduction of new technologies in computing helps greatly in the process of healthcare enhancement nowadays. With the blooming of Internet of Things (IoT), Cloud Computing (CC), and the smart technologies, these researchers tend to depend on them more heavily in order to develop the services offered in the healthcare domain area to become smarter and more ubiquitous. For example, cloud computing is considered a very useful type of technology to healthcare services due to its affordability and enormous data storage capabilities as well as ease of deployment at runtime. The ease of use and accessibility to documents, has been much facilitated by the introduction of cloud computing. Similarly, IoT technology enables communication among real world objects to interact in a more intelligent way. In turn, IoT is all about connectivity and automation that require intelligent algorithms to make the smart objects work harmoniously together. So, the importance of IoT to healthcare lies unquestionably in the speed of analyzing patients’ data to aid practitioners and specialists at the times of emergency. Needless to say, the healthcare centers and hospitals are some of the most important facilities that require a lot of attention to transfer their old form of documentation into smart management systems. It is essential to analyze health data in order to increase the quality of patient’s care. Egypt being a fast-developing country, is starting to replace its old manual systems by electronic systems especially in the blooming new smart cities. Accordingly, the mingling of all these technologies will definitely flourish the healthcare services at the national level.
In this research, a number of studies and surveys were conducted about these new technologies and their applications within different healthcare services worldwide. The first study dealt with the reference architectures and frameworks applied in healthcare as well as the smart versions of these architectures or frameworks. The cloud computing ones were further investigated for adoption within the proposed system. Another survey study was conducted on the applications of IoT in healthcare and a deep study covered the diverse types of task scheduling algorithms. Those algorithms spanned different environments namely: grid, fog, and cloud computing with a major focus on the latter. Furthermore, the Artificial Intelligence algorithms that are used in healthcare were studied to best match the cloud computing environment. A direct questionnaire was used to collect healthcare service interaction data from physicians who provide emergency help to incoming patients. The collected data were 60 responses with 58% male and 42% female. The highest percentage for the degrees of education were 38.5% for masters degree and 38.5% for Medical/Doctor of Philosophy. 52% of the responses were from physicians who worked on two or more jobs.
The aim of this research is to provide the physicians at the “Emergency Unit” in the Egyptian hospitals with a smart tool to take quick decisions regarding patients who are carried by the ambulance while they are on their way to the hospital. According to the results of the questionnaire from different specialized physicians a smart tool was designed that applies a heuristic Cloud based system that accesses all data about the Egyptian citizens and people living in Egypt. The system retrieves the required individual patient’s data and presents it based on the specialization of the physician. It also, offers the physician with previous actions taken for similar cases in an intelligent approach. In this way, it is believed to speed up the process of taking the required actions before the arrival of the patient to the hospital. The physician, stationed at the hospital, also has the facility to communicate with the ambulance attendant to give him further instructions on how to deal with the patient during the transportation phase. The novelty of this research lies in the acceleration of the process of saving the life of an emergency case patient in minimal time.
The final hybrid system presents an Emergency Aided System Tool (EAST) that uses the cloud as its database containing all the patients’ information. Data are retrieved using the Mapping Independent Task (MIT) scheduling algorithm to respond immediately to every single request. Concurrently, the system uses the Hypermutation Genetic Algorithm (HGA) to allocate a new patient’s ambulance request. The specialized doctor, stationed at the hospital, gets a notification regarding the patient’s case and logs in to the system to view the patient’s historical data. These data are displayed sequentially based on the doctor’s specialization. Moreover, the Fuzzy Case-Based Reasoning (Fuzzy CBR) algorithm was used to present additional medical diagnosis based on previous similar cases.
The EAST prototype was tested and preliminary feedback was collected from a group of 50 physicians who are working in different specializations at 10 different hospitals. They were all impressed and gave a feedback rating of 95% on the software prototype.