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.
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.
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.
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.
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.
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.
Security and Challenges using Clouds Computing in Healthcare Management Systemijtsrd
Today's IT world is progressively used in healthcare with the goal to improve and develop the medical services and to reduce costs. Records are very delicate that should not be made available to unauthorized people for protecting patients information security. In this context cloud computing became trend of information technology which allows more efficient computing by centralizing data storage and processing data online to prevent cyber gaps that pose an adverse impact on the security and privacy of patients' electronic health records. In these situations, security challenges of the wireless networks need to be carefully understood and considered. Cloud computing as part of Healthcare IT reliability, security, privacy, data portability and integration are some of the significant challenges and barriers to implementation that are responsible for its slow adoption in the Kingdom of Saudi Arabia. Chamandeep Kaur | Hanan Mohammed Mourad | Sayyada Sara Banu "Security and Challenges using Clouds Computing in Healthcare Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29406.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29406/security-and-challenges-using-clouds-computing-in-healthcare-management-system/chamandeep-kaur
An Adaptive Technique in Electronic Health Record for Clinical Decision Makin...ijtsrd
Cloud computing is a collection of several computer resources that consists of both software and hardware. It is a type of service that is delivered over the internet and can be accessible from anywhere. 1 The data and services can be accessed through the internet. 4 These services are managed by the third party over the internet. They eventually provide access to the servers and resources. Health records consist of patient’s data regarding health. This data is usable by both the hospitals and patients. 6 8 This can be eventually used to track the medical history of patients. Data Visualization is a graphical depiction of the data. It implicates producing images that advertise the link among the data that the users view. Hence, they are used for clinical decision making. In this paper we will be discussing how cloud can be used to maintain health records electronically. Meghana Prakash | Vignesh S "An Adaptive Technique in Electronic Health Record for Clinical Decision Making Based on Data Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30699.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30699/an-adaptive-technique-in-electronic-health-record-for-clinical-decision-making-based-on-data-visualization/meghana-prakash
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.
This informative webinar features Brian Babineau, Senior Analyst from ESG, who discusses the data management challenges facing healthcare IT professionals. Jamie Clifton from BridgeHead Software concludes with a brief discussion of BridgeHead's healthcare data management solutions, including HEAT, an archiving appliance built with Sun Microsystems.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
AMCTO presentation on moving from records managment to information managementChristopher Wynder
This presentation was given to AMCTO zones 1 and 4/5. It presents how to use the records classification as the core for a faceted classification schema that can be used to enable workflow and processes across the organization.
AUTOMATED TESTING OF LAB MANAGEMENT SERVICES ON CLOUDIndium Software
While cloud computing offers clinical laboratories the advantage of lowers costs of
infrastructure and better storage, among others, it also poses challenges of data integrity and
security. IP-driven automated testing frameworks such as Indium’s iSafe provide the labs with a
quick, accurate and comprehensive assessment of the health and performance of their services
on the cloud platform.
Case Solve 5.1:
INTERACTIVE SESSION: MANAGEMENT
SHOULD YOU USE YOUR IPHONE FOR WORK?
Case Solve 5.2:
INTERACTIVE SESSION: ORGANIZATIONS
NORDEA GOES GREEN WITH IT
Case No. 6.1
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Case No. 6.2
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Integrating user needs into ECM projects is key to success. Whether it is a initial implementation or a reboot or just expanding use, user needs and UX testing should be integrated into every project
Cloud eHealth in Medical Imaging & RadiologyCarestream
Cloud computing in medical imaging, with real life examples. Presentation given by Pierre Yves Nectoux, at the World of Health IT congress, in Barcelona Spain, on 15 March 2010. Presentation includes two case studies, as well as a general implementation example.
For more on the cloud, visit http://www.carestream.com/cloud
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
Big data a possible game changer for e-governanceSomenath Nag
Big data is an IT trend on the fast track. It is one of the most disruptive IT trends that will change the way business is done today. It will make the organizations a proactive one from the current reactive state through the insights generated from the vast volume of data that is getting generated across different medium. There is a huge potential of using Big Data in e-governance projects for improving efficiency, transparency, and resource utilization of the system.
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
Security and Challenges using Clouds Computing in Healthcare Management Systemijtsrd
Today's IT world is progressively used in healthcare with the goal to improve and develop the medical services and to reduce costs. Records are very delicate that should not be made available to unauthorized people for protecting patients information security. In this context cloud computing became trend of information technology which allows more efficient computing by centralizing data storage and processing data online to prevent cyber gaps that pose an adverse impact on the security and privacy of patients' electronic health records. In these situations, security challenges of the wireless networks need to be carefully understood and considered. Cloud computing as part of Healthcare IT reliability, security, privacy, data portability and integration are some of the significant challenges and barriers to implementation that are responsible for its slow adoption in the Kingdom of Saudi Arabia. Chamandeep Kaur | Hanan Mohammed Mourad | Sayyada Sara Banu "Security and Challenges using Clouds Computing in Healthcare Management System" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-6 , October 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29406.pdf Paper URL: https://www.ijtsrd.com/computer-science/computer-security/29406/security-and-challenges-using-clouds-computing-in-healthcare-management-system/chamandeep-kaur
An Adaptive Technique in Electronic Health Record for Clinical Decision Makin...ijtsrd
Cloud computing is a collection of several computer resources that consists of both software and hardware. It is a type of service that is delivered over the internet and can be accessible from anywhere. 1 The data and services can be accessed through the internet. 4 These services are managed by the third party over the internet. They eventually provide access to the servers and resources. Health records consist of patient’s data regarding health. This data is usable by both the hospitals and patients. 6 8 This can be eventually used to track the medical history of patients. Data Visualization is a graphical depiction of the data. It implicates producing images that advertise the link among the data that the users view. Hence, they are used for clinical decision making. In this paper we will be discussing how cloud can be used to maintain health records electronically. Meghana Prakash | Vignesh S "An Adaptive Technique in Electronic Health Record for Clinical Decision Making Based on Data Visualization" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30699.pdf Paper Url :https://www.ijtsrd.com/computer-science/other/30699/an-adaptive-technique-in-electronic-health-record-for-clinical-decision-making-based-on-data-visualization/meghana-prakash
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.
This informative webinar features Brian Babineau, Senior Analyst from ESG, who discusses the data management challenges facing healthcare IT professionals. Jamie Clifton from BridgeHead Software concludes with a brief discussion of BridgeHead's healthcare data management solutions, including HEAT, an archiving appliance built with Sun Microsystems.
Clinical Narrative And Structured Data In The Ehr Venus And Mars Live In Harm...Nick van Terheyden
For nearly two decades healthcare technology has attempted to impose new documentation methods that are more suited to database management but do not meet the needs of the busy practicing physician. Conventional wisdom is that documents are bad and discrete data is good but historically clinicians have resisted efforts to establish structured data entry methodologies trying to replace the clinician preferred method of data capture – dictation. Clinical Document Architecture for Common Document Types (CDA4CDT) offers a bridge between the two opposing worlds of clinical documentation creating semantically interoperable data while retaining the precise clinical content contained in free flowing narrative
AMCTO presentation on moving from records managment to information managementChristopher Wynder
This presentation was given to AMCTO zones 1 and 4/5. It presents how to use the records classification as the core for a faceted classification schema that can be used to enable workflow and processes across the organization.
AUTOMATED TESTING OF LAB MANAGEMENT SERVICES ON CLOUDIndium Software
While cloud computing offers clinical laboratories the advantage of lowers costs of
infrastructure and better storage, among others, it also poses challenges of data integrity and
security. IP-driven automated testing frameworks such as Indium’s iSafe provide the labs with a
quick, accurate and comprehensive assessment of the health and performance of their services
on the cloud platform.
Case Solve 5.1:
INTERACTIVE SESSION: MANAGEMENT
SHOULD YOU USE YOUR IPHONE FOR WORK?
Case Solve 5.2:
INTERACTIVE SESSION: ORGANIZATIONS
NORDEA GOES GREEN WITH IT
Case No. 6.1
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Case No. 6.2
INTERACTIVE SESSION: TECHNOLOGY
BIG DATA, BIG REWARDS
Integrating user needs into ECM projects is key to success. Whether it is a initial implementation or a reboot or just expanding use, user needs and UX testing should be integrated into every project
Cloud eHealth in Medical Imaging & RadiologyCarestream
Cloud computing in medical imaging, with real life examples. Presentation given by Pierre Yves Nectoux, at the World of Health IT congress, in Barcelona Spain, on 15 March 2010. Presentation includes two case studies, as well as a general implementation example.
For more on the cloud, visit http://www.carestream.com/cloud
Connected Healthcare - New PerspectiveSomenath Nag
An IDC source says, the healthcare industry is one of the highest-ranked industries for year-over-year growth and five-year compound annual growth rates with a worldwide average of 7.0% growth for FY12 in software.
There has been a significant investment in the form of health modernization and stimulus funding to leverage technology to cut down rising healthcare costs.
This presentation discusses the concepts of connected healthcare and how it will change the Healthcare Industry.
Big data a possible game changer for e-governanceSomenath Nag
Big data is an IT trend on the fast track. It is one of the most disruptive IT trends that will change the way business is done today. It will make the organizations a proactive one from the current reactive state through the insights generated from the vast volume of data that is getting generated across different medium. There is a huge potential of using Big Data in e-governance projects for improving efficiency, transparency, and resource utilization of the system.
Learn more about Hitachi Content Platform Anywhere by visiting http://www.hds.com/products/file-and-content/hitachi-content-platform-anywhere.html
and more information on the Hitachi Content Platform is at http://www.hds.com/products/file-and-content/content-platform
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
A study on significance of adopting cloud computing paradigm in healthcare se...cloud100
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.
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.
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.
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.
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.
cloud computing iRevolutionizing Healthcare The Power of Cloud Computingn hea...Elina619459
In recent years, cloud computing has emerged as a transformative technology in various industries, and healthcare is no exception. The integration of cloud computing into healthcare systems has led to substantial advancements in patient care, data management, research, and overall operational efficiency. This article explores how cloud computing is revolutionizing the healthcare sector, its benefits, challenges, and potential future developments.
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.
Significant Advantages of Cloud Computing.pdfShelly Megan
Cloud computing in healthcare offers numerous benefits like easy collaboration, seamless interoperability, new avenues of Big data implementation, data analytics, medical research, reduced data storage, and operational costs, elevated patient experience, enhanced scalability, and improved data security.
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 ...
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 ...
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.
Similar to The Delivery of Web Mining in Healthcare System on Cloud Computing (20)
Immunizing Image Classifiers Against Localized Adversary Attacksgerogepatton
This paper addresses the vulnerability of deep learning models, particularly convolutional neural networks
(CNN)s, to adversarial attacks and presents a proactive training technique designed to counter them. We
introduce a novel volumization algorithm, which transforms 2D images into 3D volumetric representations.
When combined with 3D convolution and deep curriculum learning optimization (CLO), itsignificantly improves
the immunity of models against localized universal attacks by up to 40%. We evaluate our proposed approach
using contemporary CNN architectures and the modified Canadian Institute for Advanced Research (CIFAR-10
and CIFAR-100) and ImageNet Large Scale Visual Recognition Challenge (ILSVRC12) datasets, showcasing
accuracy improvements over previous techniques. The results indicate that the combination of the volumetric
input and curriculum learning holds significant promise for mitigating adversarial attacks without necessitating
adversary training.
About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Final project report on grocery store management system..pdfKamal Acharya
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Planning Of Procurement o different goods and services
The Delivery of Web Mining in Healthcare System on Cloud Computing
1. IOSR Journal of Computer Engineering (IOSR-JCE)
e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 12, Issue 4 (Jul. - Aug. 2013), PP 37-41
www.iosrjournals.org
www.iosrjournals.org 37 | Page
The Delivery of Web Mining in Healthcare System on Cloud
Computing
Nidhi Solanki, Aman Duraja
PDM College of Engineering
(Affiliated to M D University, Rohtak, haryana)
Abstract: In Current economic trends The Healthcare organizations are seeking ways to improve their
workflows and information management to discover knowledge for understanding the cause of any disease and
its treatment, more accurate control of medicines and supplies, faster coding and billing, and efficient patient
processes that support optimal care more flexible. The construction, delivery & management of software
services through Cloud Computing have been changed radically. Cloud computing provides computation,
software, data access, and storage. These services are great innovation in the field of computing. So now it has
become indispensable to the healthcare organizations to adapt new technology and new ideas to develop new
information that meet the need of current business requirements. Internet has played a vital & crucial role in the
business environment in current scenario, the term “Cloud computing” is quite important because of their
versatility as they serve for enterprises and individuals around the globe. The Cloud Computing deliver many
business advantages like computation, data access, storage, Zero install, Reduce business costs, Centralized
data, Quick and easy updating and make all these available 24 x 7 hour from anywhere any time through any
internet compatible devices. However there are certain aspects related to the issues which are needed to get
attention and handle cautiously.
In our present study various advantages while delivering healthcare services on cloud computing like unlimited
storage, Flexible, Backup & Recovery, Automatic software Integration, Quick Deployment, Easy Access to
Information, Cost Efficient are critically analyzed, synthesized. The outcome of the study would be of a great
significance to deal with the issues for future enhancement.
Keyword: Storage, Data Integration, Backup & Recovery, Security and Privacy, Quick Deployment, Flexibility,
Decrease Cost.
I. Introduction
A. About Healthcare
The health care industry or medical industry is a sector within the economic system that provides goods
and services to treat patients with curative, preventive, rehabilitative, and palliative care. The modern health care
sector is divided into many sub-sectors, and depends on interdisciplinary teams of trained professionals and
paraprofessionals to meet health needs of individuals and populations. The health care industry is one of the
world's largest and fastest-growing industries. Consuming over 10 percent of gross domestic product (GDP) of
most developed nations, health care can form an enormous part of a country's economy. Healthcare
organizations of all sizes face a critical need to manage and integrate clinical, financial and operational
information. Our Hospital Information Management (HIM) offers a complete, modular and agile hospital
information system that is flexible, affordable and intuitive. The solution has been developed from the ground
up with a key focus of meeting the needs of healthcare professionals while minimizing the costs and resources
required running global healthcare organizations.
B. About Web Mining
The web is a means for accessing a vast variety of information stored in various parts of the world.
Information is mostly in the form of unstructured data i.e. Web is the single largest data source in the world.
Due to heterogeneity and lack of structure of web data, mining is a challenging task. Web mining helps
companies or healthcare organization or hospital to collect and analyze data. Web Mining can help optimize
system performance and derive meaningful information from disparate data sources.
Suppose before purchasing the healthcare product or medicine a hospital can compare the price of various
suppliers companies so that the hospital can purchase economic product. If the hospital purchase economic
product then the hospital provide economical treatment.
Submitted date 17 June 2013 Accepted Date: 22 June 2013
2. The Delivery Of Web Mining In Healthcare System On Cloud Computing
www.iosrjournals.org 38 | Page
C. About Cloud Computing
The construction, delivery & management of software services through Cloud Computing have been
changed radically. Cloud computing provides computation, software, data access, and storage services over the
Internet. These services are broadly divided into three categories: Infrastructure-as-a-Service (IaaS), Platform-
as-a-Service (PaaS) and Software-as-a-Service (SaaS).
SaaS: - Software as a Service (SaaS) is a software distribution model in which applications are hosted by a
vendor or service provider and made available to customers over a network, typically the Internet.
PaaS: - Platform as a Service (PaaS) is a way to rent hardware, operating systems, storage and network capacity
over the Internet. The service delivery model allows the customer to rent virtualized servers and associated
services for running existing applications or developing and testing new ones.
IaaS: - Infrastructure as a Service is a provision model in which an organization outsources the equipment used
to support operations, including storage, hardware, servers and networking components. The service provider
owns the equipment and is responsible for housing, running and maintaining it. The client typically pays on a
per-use basis.
II. Proposed Model
In this research proposed technique help in much efficient way to identify the healthcare related
activities like product price comparison, facilities comparison, patient history, patient treatment history, fast
admission, fast billing, Online appointments, Doctors information, Disease Information and Online support from
anywhere any time.
These all facilities are delivered by a cloud based server and accordingly it becomes easy for end users,
patients, organizations, researchers & practitioners to access or to extract the required data or information
through the Internet compatible appliances like PDAs, laptops, desktop computers and other such devices access
information from the web server.
Web Server
Fig 1: To deliver cloud based web mining services in healthcare
It is a new paradigm in which computing is migrating from personal computers to large, centrally
managed datacenters. It is the cloud based computing where virtual shared server provides computation,
software, data access, and storage services. End-user or customer doesn‟t have the knowledge of the physical
location and configuration of the system that delivers the services. It is economic, Faster, simpler and cheaper to
use. Applications can be accessed from anywhere anytime.
III. Characteristics of this approach
1. Device and location independence: the Internet, users can connect from anywhere any time through
any devices (PC, smart phone) using a web browser.
2. Security: improve due to centralization of data, increased security-focused resources, etc., but concerns
can persist about loss of control over certain sensitive data. Security is often as good as or better than under
traditional systems, in part because providers are able to devote resources to solving security issues that many
3. The Delivery Of Web Mining In Healthcare System On Cloud Computing
www.iosrjournals.org 39 | Page
customers cannot afford. However, the complexity of security is greatly increased when data is distributed over
a wider area or greater number of devices and in multi-tenant systems that are being shared by unrelated users.
3. Increased Scalability
a. Increase Capacity 24 hours
b. Capacity on demand
4. Increased Speed
a. 24 hour provisioning
b. Online self service
5. Cost Efficient: Cloud computing is probably the most cost efficient method to use, maintain and
upgrade. Traditional desktop software costs companies a lot in terms of finance. Adding up the licensing fees for
multiple users can prove to be very expensive for the establishment concerned. The cloud, on the other hand, is
available at much cheaper rates and hence, can significantly lower the company‟s IT expenses.
6. Almost Unlimited Storage: Storing information in the cloud gives you almost unlimited storage
capacity. Hence, you no more need to worry about running out of storage space or increasing your current
storage space availability.
7. Backup and Recovery: Since all your data is stored in the cloud, backing it up and restoring the same
is relatively much easier than storing the same on a physical device.
8. Automatic Software Integration: In the cloud, software integration is usually something that occurs
automatically. This means that you do not need to take additional efforts to customize and integrate your
applications as per your preferences.
This research mainly concentrates on providing better approach for delivering web data in healthcare more
accurately. Experimental results suggest the significance of the proposed approach. Step 1: 1st
the hospital
extract data from given websites.
Step 2: Then cleaning and integration of the extracted data and the transform it into meaningful information
and storage it into database.
Step 3: Then the users can use it from anywhere any time through any internet compatible appliances.
The procedure we follow is given below graphically.
Fig 1: First website Screen shot
4. The Delivery Of Web Mining In Healthcare System On Cloud Computing
www.iosrjournals.org 40 | Page
Figure 2: Second website Screen shot
Above figures are the online suppliers of healthcare product. Before purchasing the healthcare product
hospital can compare the price using web mining module. The module can extract data from source and
compare the all health care product price graphically using column chart. After comparing price of product the
hospital can decide from where to purchase healthcare product, so that the operational or treatment cost is
minimized.The output is given as follows.
The output is like this
IV. Conclusion
Like everything else, cloud computing too has its pros and cons. While the technology can prove to be
a great asset to your company, it could also cause harm if not understood and used properly. Two decades ago
such approximations were impossible simply because neither the technology nor the computer capacity were
available. Today‟s landscape is quite different. Many applications are better served. The Experimental results
suggest the significance of the proposed approach.
5. The Delivery Of Web Mining In Healthcare System On Cloud Computing
www.iosrjournals.org 41 | Page
References
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of Multidisciplinary Research in Advanced Engineering, pages. 201-210, 2012.
[2] Dr. M. Giri and Dr. Akash Kumar, “An Efficient Web Content Mining using Divide and Conquer Approach”, International journal
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[3] Dr. M. Giri and Dr. Akash Kumar, “An Efficient Web Content Mining using Multi Threading Approach”, International Journal of
Systems, Algorithms and Applications, pages. 1-4, 2012
[4] Yan LI, Boqin FENG and Qinjiao MAO, “Research on Path Completion Technique In Web Usage Mining”, IEEE International
Symposium On Computer Science and Computational Technology, pp. 554-559, 2008.
[5] Batista, G. & Monard, M., 2003, „An analysis of four missing data treatment methods for supervised learning‟, Applied Artificial
Intelligence, vol. 17, no. 5-6, pp. 519-533.
[6] C. Romero, S. Ventura "Educational data Mining: A Survey from 1995 to 2005", Expert Systems with Applications (33), pp. 135-
146, 2007
[7] R.Cooley, B. Mobasher, and J. Srivastava. “Web mining: Information and Pattern Discovery on the World Wide Web.” In
Proceedings of Ninth IEEE International Conference on Tools with Artificial Intelligence” (ICTAI’97), November 1997.
About Author:
Ms. Nidhi Solanki is the student of M. tech at PDM College of Engineering. She has received B.Tech degree
from BMIET Sonipat Haryana. She has presented various research papers. Her current area of research is Web
Mining in HealthCare Industries.
Mr. Aman Dureja is assistant professor at PDM College of Engineering. He has received B.Tech degree from
BITS Bhiwani, Haryana in 2007 and M.tech from PDM College of Engineering in 2010. He has presented 15
national and international research papers.