Cloud-based Collaborative Media Service Framework for Health-Care

Proceedings of the International Conference on ISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB), 2019

Cloud computing has lately emerged as a new standard for hosting and delivering services over the internet. As per the Code of Federal Regulations, the hospitals are required to retain the radiological records for a duration of 5 years. Healthcare organizations are considering cloud computing as an attractive option for managing radiological imaging data. In this paper, we have proposed a public cloud-based "Infrastructure as a Service (IaaS)" model as a solution for maintaining the medical records of patients. New patient information is registered at the hospital with the help of a unique identification number. For each user, the bucket is created in the Amazon AWS cloud to store or retrieve the data. Data access is performed with the help of username and password provided by the web link which is embedded in the unique QR code. Two QR codes are used, the first code gives the access to the login page, whereas the latter one is used for accessing the corresponding user bucket.

Lecture Notes in Computer Science, 2014

Many healthcare units are creating cloud strategies and migration plans in order to exploit the benefits of cloud based computing. This generally involves collaboration between healthcare specialists and data management researchers to create a new wave of healthcare technology and services. However, in many cases the technology pioneers are ahead of government policies as cloud based storage of healthcare data is not yet permissible in many jurisdictions. One approach is to store anonymised data on the cloud and maintain all identifying data locally. At login time, a simple protocol can be developed to allow clinicians to combine both sets of data for selected patients for the current session. However, the management of off-cloud identifying data requires a framework to ensure sharing and availability of data within clinics and the ability to share data between users in remote clinics. In this paper, we introduce the PACE healthcare architecture which uses a combination of Cloud and Peer-to-Peer technologies to model healthcare units or clinics where off-cloud data is accessible to all, and where exchange of data between remote healthcare units is also facilitated. This work is part of the Dementia Elevator Project and funded by HSE Ireland and Atlantic Philanthropies.

2014

From birth to death, every human being leaves a long medical history consisting of laboratory exams, records of medical consultations, records, and hospitalizations, as well as any other important information that affects the patient's health. These are known today as Electronic Health Records (EHR) or Electronic Medical Records (EMR). However, because a person's lifestyle and health are continuously changing, most of this medical information is distributed among different institutions, cities, and even countries where the specific processes were undertaken, in possession of health insurance providers or even hidden inside a drawer of the patient's home. Therefore, aiming to enhance the availability of improved medical services at reduced costs, modern information technology is being increasingly used in the healthcare sector. Researchers, developers, and companies have made efforts to develop mobile, Web, desktop, and enterprise e-health applications raising the importance of interoperability and data exchange between e-health applications and Health Information Systems (HIS). In this regard, Cloud Computing (CC) promises low cost, high scalability, availability, and disaster recoverability, which can be a natural solution for some of the problems faced in storing and analyzing EMRs. However, CC, which is mainly defined to address the use of scalable and often virtualized resources, is still evolving. New, specific collaboration models among service providers are needed for enabling effective service collaboration, allowing the process of serving consumers to be more efficient. In this chapter, the current state and trends of CC in healthcare are presented as well as a detailed collaboration model based on intelligent agents focusing on the EHR sharing subject. This model for enabling effective service in cloud systems is based on a recent research proposal related to defining a collaboration mechanism by means of Scout Movement. The chapter also includes details on the way in which services and service providers are clearly defined in this particular system.

International Journal of Computer Applications, 2018

Fast access to health data enables better healthcare service provisioning, improves quality of life, and helps saving life by assisting timely treatment in medical emergencies. Anywhere-anytime-accessible electronic healthcare systems play a vital role in our daily life. Services supported by mobile devices, such as home care and remote monitoring, enable patients to retain their living style and cause minimal interruption to their daily activities. In addition, it significantly reduces the hospital occupancy, allowing patients with higher need of in-hospital treatment to be admitted. E-healthcare systems are increasingly popular, a large amount of personal data for medical purpose are involved, and people start to realize that they would completely lose control over their personal information once it enters the cyberspace. According to the government website, around 8 million patients' health information was leaked in the past two years. There are good reasons for keeping medical data private and limiting the access. An employer may decide not to hire someone with certain diseases. An insurance company may refuse to provide life insurance knowing the disease history of a patient. Despite the paramount importance, privacy issues are not addressed adequately at the technical level

2016

In the past few years it was clear that mobile cloud computing was established via integrating both mobile computing and cloud computing to be add in both storage space and processing speed. Integrating healthcare applications and services is one of the vast data approaches that can be adapted to mobile cloud computing. This work proposes a framework of a global healthcare computing based combining both mobile computing and cloud computing. This approach leads to integrate all of the required services and overcoming the barriers through facilitating both privacy and security.

International Journal of Innovative Research in Computer and Communication Engineering

The growth of usage of mobile phones is increasing in rapid increasing urban & rural population. People like to use most probably a smart phone rather than a simply mobile phone. As the demand of smart phones are increasing with the demands of features like a media player, GPS navigation, a digital camera, as well as features of laptop like Wi-Fi support, Browser support, and also having multiple processor core & gigabyte RAMs. With this peoples are like to use a portable TV on the move, which supports live videos, on-demand videos which we can call it as, user subscribed videos and that gives home like feel on the move. We proposed a Multiscreen Cloud Social TV Service, which provides a user, home like environment, just like sitting at home and enjoying by co-viewing Live videos, on-demand videos and commenting on that by text chat on the move from mobile phone. This service is more beneficial for those peoples who are separated geographically from their family as well as friends. The service uses both PaaS (Platform-as-a-Service) and IaaS (Infrastructure-as-a-Service) cloud services to offer the living-room experience of video watching to a group of different mobile users who can interact socially while sharing the video. To give guarantee of good streaming quality of videos, Virtual Machine (VM) is used in the IaaS cloud for every mobile user individually, which downloads the videos and social exchanges on behalf of the user. VM performs good stream transcoding that matches current connectivity quality of the mobile user. Social interactions among users, in terms of textual chat, and storage of data are handling in PaaS cloud. With this one more feature is supported by this service is, Session throwing. This is done from Big screen (Laptop) to Small screen (Mobile) and vice versa. So that, user can enjoys video watching on the move.

Previous medical services for humans provided healthcare information using the static-based computing of space-constrained hospitals or healthcare centers. In contrast, current mobile health information management computing and services are being provided so that they utilize both the mobility of mobile computing and the scalability of cloud computing to monitor in real-time the health status of patients who are moving. In addition, data capacity has sharply increased with the expansion of the principal data generation cycle from the traditional static computing environment to the dynamic computing environment. This chapter presents mobile cloud healthcare computing systems that simultaneously leverage the portability and scalability of healthcare services. This chapter also presents the wearable computing system as an application of mobile healthcare.

Technology and Healthcare industry move hand-in-hand. Healthcare industry can reap benefits of recent advancements in the field of information technology. Cloud computing is centralized virtual machine that manages the internal and the external framework for the storage, provides a hardware, software platform to managing it. This technology reduces the use of local hardware, software for storing, sharing and retrieving data. Cloud computing's important feature provides a remote access to share data. It uses different online access resources such as client-server, applications of storage. Healthcare industry generates lot of data (Big data) in the form of Lab test results, Patient registration and day to day monitoring data. Lot of storage may be required to store this data. Cloud computing environment enables to use several real time client server machines to fulfill the requirement of storage phenomenon. The paper discusses how storage requirements of healthcare systems can easily be taken care in the cloud based environment. Electronic healthcare systems are integrated with cloud for storing the generated data, enabling medical professionals to provide better medical assistance to the patients. The doctors can refer to the history and medical reports of patient from the cloud from anywhere. In future, we may also think of using data generated from wearable devices in an IOT environment to provide better medical assistance and patient care.

2010

Mobile devices are being considered as service platforms for mobile health information delivery, access and communication. However mobiles face challenges with regard to delivering secure multimedia based health services due to limitations in computation and power supply. Since mobile devices have limited computational capacity and run on small batteries, they are unable to run heavy multimedia & security algorithms. In this paper a cloud computing framework to relieve mobile devices from executing heavier multimedia and security algorithms in delivering mobile health services is described. The proposed framework uses a Cloud Computing protocol management model which intends to provide multimedia sensor signal processing & security as a service to mobile devices. Our approach suggests that multimedia and security operations can be performed in the cloud, allowing mobile health service providers to subscribe and extend the capabilities of their mobile health applications beyond the existing mobile device limitations.

International Journal of Advanced Computer Science and Applications, 2017

Cloud computing is emerging technology and its usage in health sector is marvelous. It enhances the patient treatment process and allows the physicians to get remotely access to patient medical record anywhere and anytime. Numerous cloud based solution are working currently and offering facilities to people in rural area of developing countries. It is estimated by global healthcare that within few years of adoption of cloud in health sector will increase drastically whereas cloud based health services have opportunities and challenges as well. Privacy, security, interoperability and standards are the factors that influence cloud computing in ehealth. For cloud adoption, organization must understand the existing requirements and make strategy for further development. Cloud offers service and deployment model, each organization select the appropriate model according to their requirements. Interesting thing in cloud is that the responsibility is shared among provider and customer from usage perspective. For initiation of whole procedure service level agreement is signed among customer and provider. Organization can access the cloud services from multiple providers. Hybrid cloud computing is best suitable architecture for health organizations. The whole scenario will provide ease to physician and patient and maximize the work production.