This is a very nice IEEE paper to get latest information on cloud computing security and privacy practices, challenges and the solution. This paper mainly discusses the significances of adopting cloud computing in healthcare sector and describes that how cloud computing can be adopted by the healthcare organization and what are the challenged for it.
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
DIGITAL HEALTH: DATA PRIVACY AND SECURITY WITH CLOUD COMPUTING Akshay Mittal
Emerging Threats and Countermeasures - Digital health is the convergence of digital technology in healthcare. The emerging technology and the use of innovations are needed in healthcare for advancements and better outcomes. With the use of innovations, new threats and challenges are emerging in the industry which needs to be managed for efficient operations.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
Cloud Computing Stats - Cloud for HealthcareRapidScale
Security concerns are especially prevalent in the healthcare industry, and understandably so, due to its sensitive, private patient data. In the past, the industry has let innovation pass it by due to these worries, but today, the cloud is ready! As cloud security strengthens, healthcare can finally take advantage of the efficiency and cost savings of the cloud.
Here are some statistics about how cloud is affecting healthcare today.
An Data Center Solution Architecture Architecture For Advanced Healthcare Mon...ijceronline
Electronic Health Record (EHR) is a digital record shared across different healthcare settings, by network-connected enterprise-wide information systems called EHR systems. Cloud computing paradigm is one of the popular Health Information Technology infrastructures for facilitating Electronic Health Record (EHR) sharing and EHR integration. Healthcare clouds offer new possibilities, such as easy and ubiquitous access to medical data, and opportunities for new business models. However, they also bear new risks and raise challenges with respect to security and privacy aspects. The global economic crisis has affected the health sector. The costs of healthcare services rise and healthcare professionals are becoming scarce and hard to find, it is imminent that healthcare organizations consider adopting health information technology (HIT) systems. Healthcare professionals must have all the information they require to make prompt patient-care decisions. The growing of mobility connections, people can access all the resources hosted in the cloud any time using any device. The adoption of Cloud Computing in healthcare system for delivering health information and services, driven by the fact that healthcare services in Jordan are almost provided manually from tools to technologies, the growth of inhabitants and refugees crisis, healthcare stakeholders ICT consciousness, and the technical challenges and delays faces the implementation e-Healthcare system. The different problems concerning the managerial, administrative and management aspects, to the concern of physician or researcher, that necessities the infrastructure to process, store, manage patient data, analysis, diagnosis, and so on. Cloud computing is a significant alternative to solve many of these problems providing several advantages in terms of resource management and computational capabilities. In this paper we propose a national cloud computing data centers architecture solution to host healthcare system services computing resources components, proposing building a national e-health cloud environment to overcome many of the challenges confronting the success of Hakeem the core of the National e-Health System (NHS) for the provision of e-Health as a Service.
DIGITAL HEALTH: DATA PRIVACY AND SECURITY WITH CLOUD COMPUTING Akshay Mittal
Emerging Threats and Countermeasures - Digital health is the convergence of digital technology in healthcare. The emerging technology and the use of innovations are needed in healthcare for advancements and better outcomes. With the use of innovations, new threats and challenges are emerging in the industry which needs to be managed for efficient operations.
This is a re-boot of a presentation originally given on the potential role of cloud infrastructure in healthcare delivery from eHealth Canada 2012.
Key concepts are the drivers of change in healthcare, how hospitals can protect themselves when using of cloud, the potential use of enterprise content management as part of healthcare delivery and the current models that we are seeing in Canada and the US.
Cloud Computing Stats - Cloud for HealthcareRapidScale
Security concerns are especially prevalent in the healthcare industry, and understandably so, due to its sensitive, private patient data. In the past, the industry has let innovation pass it by due to these worries, but today, the cloud is ready! As cloud security strengthens, healthcare can finally take advantage of the efficiency and cost savings of the cloud.
Here are some statistics about how cloud is affecting healthcare today.
This paper aims to provide an understanding of the model and exploring options available for complementing the technology and infrastructure needs of Healthcare organizations.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
A Proposed Security Architecture for Establishing Privacy Domains in Systems ...IJERA Editor
Information and communication technology (ICT) are becoming a natural part in healthcare. Instead of keeping patient information inside a written file, you can find all information stored in an organized database as well defined files using a specific system in almost every hospital. But those files sometimes got lost or information was split up in files in different hospitals or different departments so no one could see the whole picture from this point we come up with our idea. One of this paper targets is to keep that information available on the cloud so doctors and nurses can have an access to patient record everywhere, so patient history will be clear which helps doctors in giving the right decision. We present security architecture for establishing privacy domains in e-Health bases. In this case, we will improve the availability of medical data and provide the ability for patients to moderate their medical data. Moreover, e-Health system in cloud computing has more than one component to be attacked. The other target of this paper is to distinguish between different kinds of attackers and we point out several shortcomings of current e-Health solutions and standards, particularly they do not address the client platform security, which is a crucial aspect for the overall security of systems in cloud. To fill this gap, we present security architecture for establishing privacy domains in e-Health infrastructures. Our solution provides client platform security and appropriately combines this with network security concepts.
A technology called cloud computing has generated a great deal of interest as well as trepidation in health care organizations across the globe. Along with the potential benefits of cost reduction, disaster recovery, and dynamic storage scalability come numerous concerns, of which security and patient information privacy are paramount. These concerns have been identified as a mixture of reality and perception that must be overcome for health care to take advantage of the benefits of cloud computing. To overcome the identified barriers to further expansion of health care into the cloud will require adoption of methodology proposed by others by performing detailed data touch point planning and configuration as well as fully taking advantage of new encryption and data center technology.
Building Future-Ready Healthcare IT Platforms: Get To The CloudDell World
Cloud computing is a growing force in healthcare and offers clear benefits for organizations of all sizes. What is less clear to many organizations are the pros and cons of various cloud adoption strategies and how to successfully move applications and data to the cloud. Discover how cloud technology platforms can transform EMR implementations, digital image archiving and security. Through the use of real-world case studies, participants will learn effective change management strategies from a technical/operational/process perspective, as well as the pros and cons of various cloud models. Learn more: http://del.ly/Ckd9Dk
Addressing the Healthcare Connectivity ChallengeTodd Winey
In healthcare, information accessibility can impact the outcome of a medical decision, or the success of a bundled payment initiative. To ensure that the right information is available at the right place and time, healthcare organizations typically have used HL7® interface engines to share data among clinical applications. But the demands on healthcare information technology are changing so rapidly that these simple engines are no longer sufficient.
Harnessing and securing cloud in patient health monitoringAshok Rangaswamy
Presented in International conference on Computer communications and Informatics (January 9-11, 2012) and got the paper indexed in IEEE Xplore.(link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6158924&contentType=Conference+Publications&queryText%3DOpenCloudCare)
Connecting the Healthcare Ecosystem - An Architecture for Improved HealthProlifics
While healthcare reform has many underlying goals and will solve many problems in the healthcare ecosystem, the essence is to provide seamless and secure connectivity, enabling the exchange of patient information, allowing improved continuity and coordination of care. The correct approach to enabling this connectivity will allow information to flow on an unprecedented scale, enabling better clinical decisions while allowing the patient, payer and provider to collaborate in new and meaningful ways. Join us in this session to learn how the WebSphere Healthcare ESB (Message Broker and Healthcare Pack), content and predictive analytics, Worklight mobile technology and Portal form the perfect building blocks for the future of healthcare.
An innovative IoT service for medical diagnosis IJECEIAES
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
CARE –AN ARCHITECTURAL APPROACH FOR A MULTIMEDIA ASSISTANCE SYSTEM FOR SINGLE...IJITCA Journal
In contrast to the increasing degree of automation in the production industry, commissioning and maintenance activities will essentially be limited to manual activities. Production involves repetitive actions that are manageable and clearly defined as a process. Unlike this, commissioning and maintenance have to deal with uncontrollable, undefined, and non - standardized processes. The paper provides a
framework for a multimedia assistance system for singletons. It was found that the paradigm has to consist of five key components to provide tailored assistance to customers. These key components are Expertise, Infrastructure, Application & Platforms, Security & Privacy and Business Process & Business Model. The resulting stack and the overlaying business model are called "CaRE – Custom Assistance for Remote Employees". With possible Architectural Smells and Anti-Pattern in mind, a Microservice Architecture shall be presented which forms the backend-system of CaRE.
This paper aims to provide an understanding of the model and exploring options available for complementing the technology and infrastructure needs of Healthcare organizations.
IoT based on secure personal healthcare using RFID technology and steganography IJECEIAES
Internet of things (IoT) makes it attainable for connecting different various smart objects together with the internet. The evolutionary medical model towards medicine can be boosted by IoT with involving sensors such as environmental sensors inside the internal environment of a small room with a specific purpose of monitoring of person's health with a kind of assistance which can be remotely controlled. RF identification (RFID) technology is smart enough to provide personal healthcare providing part of the IoT physical layer through low-cost sensors. Recently researchers have shown more IoT applications in the health service department using RFID technology which also increases real-time data collection. IoT platform which is used in the following research is Blynk and RFID technology for the user's better health analyses and security purposes by developing a two-level secured platform to store the acquired data in the database using RFID and Steganography. Steganography technique is used to make the user data more secure than ever. There were certain privacy concerns which are resolved using this technique. Smart healthcare medical box is designed using SolidWorks health measuring sensors that have been used in the prototype to analyze real-time data.
A Proposed Security Architecture for Establishing Privacy Domains in Systems ...IJERA Editor
Information and communication technology (ICT) are becoming a natural part in healthcare. Instead of keeping patient information inside a written file, you can find all information stored in an organized database as well defined files using a specific system in almost every hospital. But those files sometimes got lost or information was split up in files in different hospitals or different departments so no one could see the whole picture from this point we come up with our idea. One of this paper targets is to keep that information available on the cloud so doctors and nurses can have an access to patient record everywhere, so patient history will be clear which helps doctors in giving the right decision. We present security architecture for establishing privacy domains in e-Health bases. In this case, we will improve the availability of medical data and provide the ability for patients to moderate their medical data. Moreover, e-Health system in cloud computing has more than one component to be attacked. The other target of this paper is to distinguish between different kinds of attackers and we point out several shortcomings of current e-Health solutions and standards, particularly they do not address the client platform security, which is a crucial aspect for the overall security of systems in cloud. To fill this gap, we present security architecture for establishing privacy domains in e-Health infrastructures. Our solution provides client platform security and appropriately combines this with network security concepts.
A technology called cloud computing has generated a great deal of interest as well as trepidation in health care organizations across the globe. Along with the potential benefits of cost reduction, disaster recovery, and dynamic storage scalability come numerous concerns, of which security and patient information privacy are paramount. These concerns have been identified as a mixture of reality and perception that must be overcome for health care to take advantage of the benefits of cloud computing. To overcome the identified barriers to further expansion of health care into the cloud will require adoption of methodology proposed by others by performing detailed data touch point planning and configuration as well as fully taking advantage of new encryption and data center technology.
Building Future-Ready Healthcare IT Platforms: Get To The CloudDell World
Cloud computing is a growing force in healthcare and offers clear benefits for organizations of all sizes. What is less clear to many organizations are the pros and cons of various cloud adoption strategies and how to successfully move applications and data to the cloud. Discover how cloud technology platforms can transform EMR implementations, digital image archiving and security. Through the use of real-world case studies, participants will learn effective change management strategies from a technical/operational/process perspective, as well as the pros and cons of various cloud models. Learn more: http://del.ly/Ckd9Dk
Addressing the Healthcare Connectivity ChallengeTodd Winey
In healthcare, information accessibility can impact the outcome of a medical decision, or the success of a bundled payment initiative. To ensure that the right information is available at the right place and time, healthcare organizations typically have used HL7® interface engines to share data among clinical applications. But the demands on healthcare information technology are changing so rapidly that these simple engines are no longer sufficient.
Harnessing and securing cloud in patient health monitoringAshok Rangaswamy
Presented in International conference on Computer communications and Informatics (January 9-11, 2012) and got the paper indexed in IEEE Xplore.(link: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?tp=&arnumber=6158924&contentType=Conference+Publications&queryText%3DOpenCloudCare)
Connecting the Healthcare Ecosystem - An Architecture for Improved HealthProlifics
While healthcare reform has many underlying goals and will solve many problems in the healthcare ecosystem, the essence is to provide seamless and secure connectivity, enabling the exchange of patient information, allowing improved continuity and coordination of care. The correct approach to enabling this connectivity will allow information to flow on an unprecedented scale, enabling better clinical decisions while allowing the patient, payer and provider to collaborate in new and meaningful ways. Join us in this session to learn how the WebSphere Healthcare ESB (Message Broker and Healthcare Pack), content and predictive analytics, Worklight mobile technology and Portal form the perfect building blocks for the future of healthcare.
An innovative IoT service for medical diagnosis IJECEIAES
Due to the misdiagnose of diseases that increased recently in a scarily manner, many researchers devoted their efforts and deployed technologies to improve the medical diagnosis process and reducing the resulted risk. Accordingly, this paper proposed architecture of a cyber-medicine service for medical diagnosis, based internet of things (IoT) and cloud infrastructure (IaaS). This service offers a shared environment for medical data, and extracted knowledge and findings between patients and doctors in an interactive, secured, elastic and reliable way. It predicts the medical diagnosis and provides an appropriate treatment for the given symptoms and medical conditions based on multiple classifiers to assure high accuracy. Moreover, it entails different functionalities such as on-demand searching for scientific papers and diseases description for unrecognized combination of symptoms using web crawler to enrich the results. Where such searching results from crawler, are processed, analyzed and added to the resident knowledge base (KB) to achieve adaptability and subsidize the service predictive ability.
CARE –AN ARCHITECTURAL APPROACH FOR A MULTIMEDIA ASSISTANCE SYSTEM FOR SINGLE...IJITCA Journal
In contrast to the increasing degree of automation in the production industry, commissioning and maintenance activities will essentially be limited to manual activities. Production involves repetitive actions that are manageable and clearly defined as a process. Unlike this, commissioning and maintenance have to deal with uncontrollable, undefined, and non - standardized processes. The paper provides a
framework for a multimedia assistance system for singletons. It was found that the paradigm has to consist of five key components to provide tailored assistance to customers. These key components are Expertise, Infrastructure, Application & Platforms, Security & Privacy and Business Process & Business Model. The resulting stack and the overlaying business model are called "CaRE – Custom Assistance for Remote Employees". With possible Architectural Smells and Anti-Pattern in mind, a Microservice Architecture shall be presented which forms the backend-system of CaRE.
Value chain of bajaj auto (My Second Semester Project On the mentioned topic ...Ankita Bharti
This project was assigned as our Second Semester end project in the subject Management Accounting by our Professor Mr. R.A.Khan.In this each and every student was assigned with a company on which they have to do a Value Chain Analysis. Mine was in 2 wheeler automobile sector and the company assigned was Bajaj auto. I have tired my level best to make this presentations per my understanding with the help of informations gathered through various Journals,newspapers and other sources.
Role of Cloud Computing in Healthcare Systemsijtsrd
The healthcare industry is complex because it is so vast in terms of the processes involved and the amount of private and sensitive information it needs to deal with. The industry’s complexity often leads to two major challenges - increased operational cost including data storage cost and difficulty in building a self sufficient health ecosystem. Technology has always been the savior that workaround for overcoming major healthcare industry challenges. One such technology is cloud computing. It has been in use in the healthcare industry for several years and continuously evolving with industry changes. Cloud computing is transforming the healthcare industry at different levels with features like collaboration, scalability, reach ability, efficiency, and security.The on demand computing feature of the cloud adds value, especially when healthcare institutes and care providers need to deploy, access and handle network information at the drop of a hat. With the rise in demand for data based security, there needs to be a shift in the creation, usage, better storage, collaboration, and sharing of healthcare data techniques. It is where cloud computing leaves no stone unturned Healthcare is one such sector that has been at the forefront of adopting cloud technology. Healthcare providers are coming to realize the true potential of cloud solutions across the globe.According to the BBC research report, estimated global spending by stakeholders in the industry on cloud computing is expected to be around 35 billion dollars by 2022. It is anticipated that the CAGR of cloud services and solutions will maintain a trajectory of 15 rise and the size of the Cloud powered healthcare market is to be around 55 billion dollars by the year 2025. Nidhi Prasad | Mahima Chaurasia "Role of Cloud Computing in Healthcare Systems" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-6 | Issue-3 , April 2022, URL: https://www.ijtsrd.com/papers/ijtsrd49488.pdf Paper URL: https://www.ijtsrd.com/computer-science/other/49488/role-of-cloud-computing-in-healthcare-systems/nidhi-prasad
Because putting patients’ needs first is essential in the healthcare industries, many healthcare systems
face health information technology (HIT) related challenges and a patient service dilemma.We will firstpresent
the patient service dilemma and provide a high-leveloverview of technologies that have increased the productivity,
efficiency in providing care, and clinical collaboration across their various healthcare campuses. Then, we will
suggest changesto current HIT practice that will enableHealth Systems to be Health Insurance Portability and
Accountability Act (HIPAA) compliant, while meeting the needs of patients, their expectations of care, and the
changing healthcare industry.
To be precise, cloud computing is the practice of using remote or network or internet based computers to store, manage and process data, rather than using local servers on personal computers.
Cloud computing in healthcare is at a fast rate becoming a bigger part of our healthcare ecosystem. Statistics show that more than 70% of healthcare providers led by physicians are either in the cloud or planning to implement the cloud.
SPECIAL SECTION ON HEALTHCARE BIG DATAReceived August 16, .docxrosiecabaniss
SPECIAL SECTION ON HEALTHCARE BIG DATA
Received August 16, 2016, accepted September 11, 2016, date of publication September 26, 2016,
date of current version October 15, 2016.
Digital Object Identifier 10.1109/ACCESS.2016.2613278
Mobile Cloud Computing Model and Big Data
Analysis for Healthcare Applications
LO’AI A. TAWALBEH1,2, (Senior Member, IEEE), RASHID MEHMOOD3, (Senior Member, IEEE),
ELHADJ BENKHLIFA4, AND HOUBING SONG5, (Member, IEEE)
1Department of Computer Engineering, Jordan University of science and Technology, Irbid 22110, Jordan
2Department of Computer Engineering, Umm Al-Qura University, Mecca 21955, Saudi Arabia
3High Performance Computing Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
4Staffordshire University, Stoke-on-Trent ST4 2DE, U.K.
5Department of Electrical and Computer Engineering, West Virginia University, Morgantown, WV 26506, USA
Corresponding author: L. A. Tawalbeh ([email protected])
This work was supported by the Long-Term National Science Technology and Innovation Plan (LT-NSTIP) under Grant 13-ELE2527-10
and in part by the King Abdulaziz City for Science and Technology (KACST), Saudi Arabia.
ABSTRACT Mobile devices are increasingly becoming an indispensable part of people’s daily life,
facilitating to perform a variety of useful tasks. Mobile cloud computing integrates mobile and cloud
computing to expand their capabilities and benefits and overcomes their limitations, such as limited memory,
CPU power, and battery life. Big data analytics technologies enable extracting value from data having four
Vs: volume, variety, velocity, and veracity. This paper discusses networked healthcare and the role of mobile
cloud computing and big data analytics in its enablement. The motivation and development of networked
healthcare applications and systems is presented along with the adoption of cloud computing in healthcare.
A cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications
is described. The techniques, tools, and applications of big data analytics are reviewed. Conclusions are
drawn concerning the design of networked healthcare systems using big data and mobile cloud-computing
technologies. An outlook on networked healthcare is given.
INDEX TERMS Healthcare systems, big data analytics, mobile cloud computing, cloudlet infrastructure,
health applications.
I. INTRODUCTION
Recently, there have been many advances in information and
communication technologies that have been transforming the
world; the world is increasingly becoming a small neighbor-
hood. Among these technologies are the cloud computing, the
wireless communications (3G/4G/5G), and the competitive
mobile devices industry. The mobile devices can provide
variety of services to facilitate our living style [1]. They are
integrated in our daily routine to help performing variety
of tasks such as location determination, time management,
image processing, booking hotels, selling and buying onli ...
SPECIAL SECTION ON HEALTHCARE BIG DATAReceived August 16, ChereCheek752
SPECIAL SECTION ON HEALTHCARE BIG DATA
Received August 16, 2016, accepted September 11, 2016, date of publication September 26, 2016,
date of current version October 15, 2016.
Digital Object Identifier 10.1109/ACCESS.2016.2613278
Mobile Cloud Computing Model and Big Data
Analysis for Healthcare Applications
LO’AI A. TAWALBEH1,2, (Senior Member, IEEE), RASHID MEHMOOD3, (Senior Member, IEEE),
ELHADJ BENKHLIFA4, AND HOUBING SONG5, (Member, IEEE)
1Department of Computer Engineering, Jordan University of science and Technology, Irbid 22110, Jordan
2Department of Computer Engineering, Umm Al-Qura University, Mecca 21955, Saudi Arabia
3High Performance Computing Centre, King Abdulaziz University, Jeddah 21589, Saudi Arabia
4Staffordshire University, Stoke-on-Trent ST4 2DE, U.K.
5Department of Electrical and Computer Engineering, West Virginia University, Morgantown, WV 26506, USA
Corresponding author: L. A. Tawalbeh ([email protected])
This work was supported by the Long-Term National Science Technology and Innovation Plan (LT-NSTIP) under Grant 13-ELE2527-10
and in part by the King Abdulaziz City for Science and Technology (KACST), Saudi Arabia.
ABSTRACT Mobile devices are increasingly becoming an indispensable part of people’s daily life,
facilitating to perform a variety of useful tasks. Mobile cloud computing integrates mobile and cloud
computing to expand their capabilities and benefits and overcomes their limitations, such as limited memory,
CPU power, and battery life. Big data analytics technologies enable extracting value from data having four
Vs: volume, variety, velocity, and veracity. This paper discusses networked healthcare and the role of mobile
cloud computing and big data analytics in its enablement. The motivation and development of networked
healthcare applications and systems is presented along with the adoption of cloud computing in healthcare.
A cloudlet-based mobile cloud-computing infrastructure to be used for healthcare big data applications
is described. The techniques, tools, and applications of big data analytics are reviewed. Conclusions are
drawn concerning the design of networked healthcare systems using big data and mobile cloud-computing
technologies. An outlook on networked healthcare is given.
INDEX TERMS Healthcare systems, big data analytics, mobile cloud computing, cloudlet infrastructure,
health applications.
I. INTRODUCTION
Recently, there have been many advances in information and
communication technologies that have been transforming the
world; the world is increasingly becoming a small neighbor-
hood. Among these technologies are the cloud computing, the
wireless communications (3G/4G/5G), and the competitive
mobile devices industry. The mobile devices can provide
variety of services to facilitate our living style [1]. They are
integrated in our daily routine to help performing variety
of tasks such as location determination, time management,
image processing, booking hotels, selling and buying onli ...
Cloud computing in healthcare industry.pdfMobibizIndia1
Electronic Medical Records or EMR is a mandate that leverages businesses to welcome cloud-based solutions for securing and storing a high volume of patient data. The good part is that cloud solutions cannot don't need to replace the existing data to incorporate new data into the cell.
Along with improvement of clouds, cloudlet and wearable devices, it becomes necessary to provide better medical information sharing over the internet. As we know, sharing medical information is very critical and challenging issue because medical information contains patient’s delicate information. The medical information sharing mainly includes collection, storage and sharing of medical information over the internet. In existing healthcare framework, patient asks health query/question which is being answered by multiple doctors. The user is provided with correct answer with the help of truth discovery method. The medical information and history of patient is directly delivered to the remote cloud. The paper proposes system to provide confidentiality of medical information and protect healthcare system from intrusion. In this proposed system, during the medical information collection stage, the Number Theory Research Unit (NTRU) algorithm is used to encrypt user’s vital signs collected various sensors. Then to protect medical information stored at remote cloud against the malicious attacks, a Collaborative Intrusion Detection System (CIDS) built on cloudlet mesh is proposed. Medical Knowledge Extraction (MKE) System is proposed to provide most reliable answer to the user’s health related query. MKE extract the medical knowledge from noisy query-answers pairs and estimate the trustworthiness degree and doctor expertise using truth discovery method.
Future of Digital Healthcare on Cloud .pdfayushiqss
Healthcare has been an integral part of the discussion and a transformative force towards innovation. With increasing advancements and awareness, people are becoming more conscious about their choices, what they eat, and where and how to get the best treatment facilities. This brings the need to provide the best healthcare services, disease detection, and the right treatment, with the best tools and hospital staff. The internet has played a significant role in serving such kinds of top-notch consumer needs. One of these internets of things is Cloud Technology. Let’s look at cloud computing in healthcare, models of cloud computing and how it has transformed the digital healthcare sector.
How cloud computing is beneficial for the Healthcare industry.pdfLaura Miller
The healthcare industry is one of the most highly regulated and competitive industries in the world. As such, it is necessary for healthcare organizations to stay up-to-date with the latest technology and innovations in order to remain competitive and provide the best possible care to their patients.
Cloud computing is an innovative technology that has the potential to revolutionize the healthcare industry and provide many benefits to both healthcare providers and patients.
In this blog post, we will discuss how cloud computing is beneficial for the healthcare industry and how healthcare organizations can take advantage of this technology.
Optimizing patient care with Citrix XenApp & XenDestopCitrix
Centrally manage EHR apps in the datacenter, enabling easier app updates, simpler compliance and instant access by clinicians using any device.
Learn more: http://www.citrix.com/health
Adoption of Cloud Computing in Healthcare to Improves Patient Care Coordinati...Mindfire LLC
The cloud has revolutionized the way we live and work. It has brought about a new era of flexibility and convenience, allowing us to access information and collaborate with others from anywhere in the world.
According to a Gartner survey, global spending on cloud services is projected to reach over $482 billion this year (2022). The numbers are much higher than those recorded last year, i.e., $313 billion.
Despite the severe and great inherited profits of Mobile Cloud Computing (MCC) in healthcare, its boom is being hindered with the aid of using privateers and protection challenges. Such problems require the utmost urgent interest to realize their complete scale and green usage. There is a want for stable health information geographically. To completely make use of the fitness services, it's far important to install vicinity the demanded protection practices for the prevention of protection breaches and vulnerabilities. Hence, this research is deliberated directly to offer requirement-orientated fitness statistics protection the use of the Modular Encryption Standard (MES) primarily established totally at the layered modeling of the safety measures. The overall performance evaluation shows that the proposed paintings excel, in comparison to different usually used algorithms towards the fitness information security on the MCC surroundings in phrases of higher overall performance and auxiliary qualitative protection ensuring measures.
GraphRAG is All You need? LLM & Knowledge GraphGuy Korland
Guy Korland, CEO and Co-founder of FalkorDB, will review two articles on the integration of language models with knowledge graphs.
1. Unifying Large Language Models and Knowledge Graphs: A Roadmap.
https://arxiv.org/abs/2306.08302
2. Microsoft Research's GraphRAG paper and a review paper on various uses of knowledge graphs:
https://www.microsoft.com/en-us/research/blog/graphrag-unlocking-llm-discovery-on-narrative-private-data/
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
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2. 15 7741229: A Study on Significance of Adopting Cloud Computing Paradigm in Healthcare Sector
heterogeneous healthcare computing infrastructure. Successful
healthcare interoperability will be dependent upon the ability
to connect people, processes, data, policies and procedures.
Due to the advent of agile IT infrastructure and the continuous
innovation of various smart electronic devices, concern of
interoperability between these systems and the existing
healthcare systems have been raised. Moreover, limited access
to patient-related information during decision making and the
ineffective communication among patients' care team
members also resulted in the occurrence of severe medical
errors which decreased healthcare quality of services [6].
Recently new home-based applications for monitoring elderly
people and patients are being deployed with their specific
electronic devices. For-example data produced by implantable
biomedical devices used for home healthcare monitoring must
be stored in healthcare organization's database. This stored
data should be available for healthcare professionals to
conduct instant and accurate interpretations of the patients'
condition while they are at home. The current technologies
such as distributed and grid computing are not sufficient
enough to handle the existing and new health care applications
in terms of dynamicity, scaling and low cost [7]. Healthcare
sector contains huge amount of data that are increasing in its
volume, velocity, and variety which creates two major
problems for healthcare organizations regarding to complexity
and increased IT expenditures. Managing and maintaining
these large datasets is vital to the success of these
organizations since their IT hardware and software needs
maintenance, monitoring and upgrading by skilled IT
personals. Furthermore, software cost, complexity, and
inflexibility issues of EHRs have raised the need for low cost
technology as service that frees healthcare organizations from
buying or managing the computing resources [8]. In addition,
healthcare organizations data resides on-premises which
makes it under environmental and human threats all together.
III. EMERGENCE OF CLOUD IN HEALTHCARE
Cloud paradigm evolved as a utility computing that
provides functionality for managing data in distributed,
ubiquitous and pervasive methods supporting several
platforms, systems and applications at independent locations
[7]. It encompasses of shared computing and services
delivered over the internet. It has unique features including
on-demand self-service, ubiquitous network access, resource
pooling, rapid elasticity and pay-per-use pattern. It facilitates
variety of service delivery and deployment models that offers
diverse services such Software as a Service (SaaS), Platform
as a Service (PaaS) and Infrastructure as a Service (laaS).
Within SaaS the latest standardize applications are offered,
while software engineering tools for healthcare developers are
offered via PaaS. Virtualized infrastructures such as virtual
machines (VMs) are offered through IaaS. These services can
be obtained through several service deployment models
including Private cloud which is operated for a single
organization with strong security features. Public cloud that is
available to the general public or industry group. Community
cloud which is shared by a group of organizations that have
the same interests and Hybrid cloud which combines the
features of one or more cloud deployment models. However,
selection of these cloud delivery and deployment service
models depends on clients' data sensitivity and management
requirements [9]. Fig. 1 [10] illustrates cloud computing
operating environment as follows.
Customerl
End-tlser
AppIlcatJon
SelVers
Virtual Machines,
Storage Servers
load Balancers
Netwotlls etc
Storage Netwotlls Repltcalton
Application Servers
Database Servers Web
Sef'lers Development
Ell'Ilfonmems etc
Email Apps
[X)cs, Onltne
Games. CRM
SCM, etc
Infrastructure as a SeMee
OaaS)
Platform as a SeMee
(PaaS)
Software as a SeMee
(SaaS)
Mobile
Deo.1ces
Internet
http https smtp, ftp
Thn Cftent
UtJlrty Software e g Us r App's Deployed in
Web-8rowsers Cloud
Figure I. Cloud Computing Architecture [10]
Cloud computing is useful for healthcare sector since it
reduces complexity and enables efficient administration of
ERRs for improved care best practices, It facilitates the
collaboration between the systems in healthcare sectors.
Electronic Medical Records (EMRs) are entered once in the
system but accessed from multiple places in order to retrieve
the required information by authorised professionals [11].
Cloud based architecture can gather data from multiple
sources, integrate and analyze that data in real-time also it
allows healthcare practitioners to remotely monitor patients
ubiquitously and pervasively which will save transportation
cost, in-hospital cost besides considering patients comfort for
best practices. Cloud computing as a pay-per-use model
enables healthcare organizations to leverage the latest
upgraded software while minimizing operating costs, covering
only the essentials. It can reduce electronic health record startup
expenses, such as hardware, software, networking,
personnel, and licensing purchasing cost [12-13], Cloud offers
backup data redundancy and disaster recovery capabilities
which are significant for healthcare organizations since it
replicates the data in various locations for more availability
and robustness [14]. Gartner stated that cloud service
revenues are about to reach 148.8 billion USD by 2014,
with large percentage from the healthcare sector [15],
Proceedings of 2012 International Conference on Cloud Computing, Technologies, Applications Management 66
3. IV. ROLE OF CLOUD IN SMART HEALTHCARE
Not only cloud facilitates healthcare best practices also it
opens the door for more innovations to take place, and for
smart healthcare to assist in reaching patients and old people in
rural and urban places as well as people in difficult situations.
We are moving towards the era of next generation healthcare
that includes smart hospitals, smart homes, smart devices etc,
which are interconnected, intelligent and context aware. For
example IBM [16] has launched Smarter Planet campaign
where ubiquitous, pervasive technologies and ecosystems of
organizations are urged to work together in various industries
to solve technology issues. Transforming to smart healthcare
requires development of personalized management approaches
that addresses patients' requirements through empowering
them to take the responsibility of their own advanced health
informatics and enabling collaborative care through creative
utilization of technology [17]. Cloud computing paradigm can
assist smart healthcare in various fields such as improved
emergency support since cloud interoperable systems provides
an immediate access to patient's lab test results that allows the
physicians to review those results immediately. In case of
public health, cloud computing enables smart healthcare
systems to perform information tracking which supports
medical research and practices such as bio-surveillance, quick
response to disease, chemical or biological attacks and
improved monitoring of adverse drug effects [12].
V. IMPLEMENTATION OF CLOUD IN HEALTHCARE
Various research projects have been conducted on cloud
computing as an IT business solution to improve healthcare
services [17], [18-19]. For-example C. Rolim et al. [20] have
proposed a cloud based system to automate the process of
collecting patients' vital data via network of sensors connected
to electronic medical devices, in order to deliver the data to the
cloud storage, real-time processing and distribution. However,
no further details were given on how the system ensures trust
establishment and privacy protection. U. Lang [21] described a
cloud computing protocol management system which provides
multimedia sensor signal processing and Security as a
Service (SCaaS) to mobile devices. This system has relieved
mobile devices from executing heavier multimedia and security
algorithms when delivering mobile healthcare services that
would improve the utilization of ubiquitous mobiles and
expand it to rural communities. A pervasive cloud project
called Dhatri [22], has leveraged cloud computing and wireless
technologies to enable doctors to access patients' health
information anytime from anywhere. Koufi et al. [23]
implemented cloud computing emergency medical system
prototype for the Greek National Health Service that integrated
the emergency system with Personal Health Records (PHRs) to
facilitate physicians with easy and immediate access to patient
data ubiquitously and pervasively in cost effective way.
Moreover E. Schweitzer [24] discussed the significance of
cloud computing paradigm in reducing ERRs start-up
expenses. Some of the high reputable IT organizations have
also invested in cloud medical records services such as
Oracle's Exalogic Elastic cloud and Amazon Web Services
Mervat Bamiah, Sarfraz Brohi, Suriay ati Chuprat, Jamalul-lail Ab Manan
(A WS), for processing personal health information online [25].
One example of cloud computing implementation in healthcare
is Biomedical Cloud in form of community cloud. It could
be filled with data relevant to biology, medicine and health
care that would be accessible to individuals via any electronic
digital personal devices [26].
VI. CLOUD COMPUTING SECURITY ISSUES
Cloud computing consists of a variety of service delivery
and deployment models with the chance of more advent of new
models according to the market and business needs. These
existing cloud service models have their own security strengths
and limitations with no current standards. These models require
new security and trust mechanisms for each cloud deployment
and service delivery type. Choosing the right service model
depends upon information sensitivity and clients' requirements.
For-instance, healthcare Software as a Service (SaaS) clients
requires more security and privacy mechanisms to trust cloud
computing, because they are outsourcing their data and
infrastructure to the cloud. Clients do not manage or control the
underlying cloud infrastructure including network, servers,
OSs, storage, or even their individual applications capabilities
[27]. While having no control over the infrastructure, data and
applications which results on clients lack of trust on adopting
cloud computing especially when they need high trust
mechanisms during exchange of messages and critical
information. In Platform as a Service (PaaS) and Infrastructure
as a Service (laaS) securing the data are shared responsibility
between the CSPs and the clients. They require two levels of
protection for security from CSPs side who provides basic
security mechanisms such as end-to-end encryption,
authentication, and authorization, as well as from the
healthcare client side that must define application dependent
access control policies, authenticity requirements, and so forth.
Fig. 2 [28] shows various protection measures that cloud
service delivery models demands.
(.)
Searty, p1my,DI I'!'!lt protectkJo .... ures
nr:ededar.odDIJdsen1CeieYek
Minlgon'flt
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GotenmE!ir ns.k II1im2.Emf!It iU'Id [omrtmce,
Ü 'oe 1IIiIllIt ...... ,l1Itual rmch ... (VMs),
dl lllillllt
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mIlDoS. (loS, DN!liK
rrustod ,,I Hintwiro ... so ..... ilDT DlAIk.
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DNIIEC: Do!nll Namo Syuon SoaJIIy Extsillotll
QoS; Qwllty of , .......
Figure 2. Security Measurements of Cloud Models [28]
Proceedings of 20121ntemational Conference on Cloud Computing, Technologies, Applications Management 67
4. 15 7741229: A Study on Significance of Adopting Cloud Computing Paradigm in Healthcare Sector
VII. CONCLUSION AND FUTURE WORK
Cloud computing facilitates healthcare organizations to
focus more on increasing quality of delivered healthcare
services instead of managing their own IT infrastructure, and
simplifies information sharing among various healthcare
institutions involved in the treatment process, which is of
utmost importance in health care. Continues evo Ivement of new
healthcare devices have been invented to sense humans' vital
signs and to monitor any critical change in their health status.
The need for cloud computing raised as it provides a
technology platform inform of services on demand that
facilitates scalable communication without the need of buying
new hardware or software to be able to deal with all
technology innovations and to overcome current electronic
healthcare systems issues. Moving the infrastructure and
sensitive patients' data from hospitals to the cloud can pose
severe security and privacy issues. However several security
standards such as Trusted Platform Module TPM, Self
Encrypting Drive (SED) have been implemented by cloud
service providers, although healthcare organizations are not
yet confident enough to trust and rely on the provided security
procedures. In order to overcome the issues of security for
implementing a smart healthcare we will propose a framework
focusing on enabling security, privacy and trust mechanisms
in healthcare cloud in our future publications.
VIII. Acknowledgment
Our gratitude goes to God Almighty for giving us the
know ledge and the ability to write this paper.
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