Toward Healthcare Data Availability and Security Using Fog-to-Cloud Networks

2021 ◽  
pp. 81-103
Author(s):  
K. A. Sadiq ◽  
A. F. Thompson ◽  
O. A. Ayeni
Keyword(s):  
Data Availability ◽  
Cloud Networks ◽  
Healthcare Data

Security and Privacy for Electronic Healthcare Records Using AI in Blockchain

2021 ◽  
pp. 90-102
Author(s):  
Ramani Selvanambi ◽  
Samarth Bhutani ◽  
Komal Veauli
Keyword(s):  
Data Privacy ◽  
Correct Diagnosis ◽  
Medical Data ◽  
Medical Advice ◽  
Data Availability ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Related Data ◽  
Healthcare Data ◽  
Health Related

In yesteryears, the healthcare data related to each patient was limited. It was stored and controlled by the hospital authorities and was seldom regulated. With the increase in awareness and technology, the amount of medical data per person has increased exponentially. All this data is essential for the correct diagnosis of the patient. The patients also want access to their data to seek medical advice from different doctors. This raises several challenges like security, privacy, data regulation, etc. As health-related data are privacy-sensitive, the increase in data stored increases the risk of data exposure. Data availability and privacy are essential in healthcare. The availability of correct information is critical for the treatment of the patient. Information not easily accessed by the patients also complicates seeking medical advice from different hospitals. However, if data is easily accessible to everyone, it makes privacy and security difficult. Blockchains to store and secure data will not only ensure data privacy but will also provide a common method of data regulation.

Supercomputing and Secure Cloud Infrastructures in Biology and Medicine

2020 ◽  
Vol 3 (1) ◽  
pp. 391-410
Author(s):  
Cathrine Jespersgaard ◽  
Ali Syed ◽  
Piotr Chmura ◽  
Peter Løngreen
Keyword(s):  
Decision Making ◽  
Cloud Computing ◽  
Personalized Medicine ◽  
Data Availability ◽  
End User ◽  
Sensitive Data ◽  
Data Accessibility ◽  
Healthcare Data ◽  
Access To Data ◽  
Cloud Infrastructures

The increasing amounts of healthcare data stored in health registries, in combination with genomic and other types of data, have the potential to enable better decision making and pave the path for personalized medicine. However, reaping the full benefits of big, sensitive data for the benefit of patients requires greater access to data across organizations and institutions in various regions. This overview first introduces cloud computing and takes stock of the challenges to enhancing data availability in the healthcare system. Four models for ensuring higher data accessibility are then discussed. Finally, several cases are discussed that explore how enhanced access to data would benefit the end user.

scholarly journals Blockchain Paradigm for Healthcare: Performance Evaluation

Symmetry ◽  
2020 ◽  
Vol 12 (8) ◽  
pp. 1200 ◽  
Author(s):  
Leila Ismail ◽  
Huned Materwala
Keyword(s):  
Management System ◽  
Data Availability ◽  
Data Management System ◽  
Heterogeneous Database ◽  
Allied Health Professionals ◽  
Privacy And Security ◽  
Client Server ◽  
Healthcare Data ◽  
Server Architecture ◽  
Client Server Architecture

Electronic health records (EHRs) have become a popular method to store and manage patients’ data in hospitals. Sharing these records makes the current healthcare data management system more accurate and cost-efficient. Currently, EHRs are stored using the client/server architecture by which each hospital retains the stewardship of the patients’ data. The records of a patient are scattered among different hospitals using heterogeneous database servers. These limitations constitute a burden towards a personalized healthcare, when it comes to offering a cohesive view and a shared, secure and private access to patients’ health history for multiple allied professionals and the patients. The data availability, privacy and security characteristics of the blockchain have a propitious future in the healthcare presenting solutions to the complexity, confidentiality, integrity, interoperability and privacy issues of the current client/server architecture-based EHR management system. This paper analyzes and compares the performance of the blockchain and the client/server paradigms. The results reveal that notable performance can be achieved using blockchain in a patient-centric approach. In addition, the immutable and valid patients’ data in the blockchain can aid allied health professionals in better prognosis and diagnosis support through machine learning and artificial intelligence.

scholarly journals Artificial Intelligence in Health Policy – A Global Perspective

2021 ◽  
pp. 1-7 ◽  
Author(s):  
Immanuel Azaad Moonesar ◽  
Ruchi Dass
Keyword(s):  
Artificial Intelligence ◽  
Value Chain ◽  
Data Availability ◽  
Global Perspective ◽  
Policy Framework ◽  
The European Union ◽  
Healthcare Data ◽  
New Frontier ◽  
Training Professionals ◽  
The Usa

Introduction: Artificial Intelligence has become the new frontier for digital transformation. For healthcare, AI brings a paradigm shift, powered by increasing healthcare data availability and the rapid progress of analytics techniques globally. Objective: Several hypotheses are set forward to design a policy framework for AI technologies was discussed. This review also suggests a framework that we reflect is a better case involving "responsible AI" and "permission less innovation." Methodology: In this perspective review, AI insights into countries such as the USA, UAE, UK, and the European Union using secondary research. Results: Policy recommendations would impact multiple stakeholders in the value chain. The efficient and responsible use of AI tools would mean culture, data management, technology shifts in the industry, and required up-grading and training professionals for better coordination

Public Reporting of Cardiovascular Data: Benefits, Pitfalls, and Vision for the Future

2016 ◽  
Vol 10 (1) ◽  
pp. 36
Author(s):  
Gregory J Dehmer ◽  
Keyword(s):  
Clinical Data ◽  
Clinical Status ◽  
Public Reporting ◽  
Professional Organizations ◽  
Healthcare Data ◽  
Outcomes Of Care ◽  
The Future ◽  
Policy Statements ◽  
Quality And Outcomes ◽  
Reporting Programs

Public reporting of healthcare data is not a new concept. This initiative continues to proliferate as consumers and other stakeholders seek information on the quality and outcomes of care. Furthermore, mandates for the development of additional public reporting efforts are included in several new healthcare legislations such as the Affordable Care Act. Many current reporting programs rely heavily on administrative data as a surrogate for true clinical data, but this approach has well-defined limitations. Clinical data are traditionally more difficult and costly to collect, but more accurately reflect the clinical status of the patient, thus enhancing validity of the quality metrics and the reporting program. Several professional organizations have published policy statements articulating the main principles that should establish the foundation for public reporting programs in the future.

Survey of Cloud Computing in Healthcare Sector

2017 ◽  
Vol 7 (7) ◽  
pp. 337
Author(s):  
S. Karthiga Devi ◽  
B. Arputhamary
Keyword(s):  
Cloud Computing ◽  
Healthcare Providers ◽  
High Volume ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Cloud Infrastructure ◽  
Healthcare Organizations ◽  
Privacy And Security ◽  
Healthcare Data ◽  
Number Of Patients

Today the volume of healthcare data generated increased rapidly because of the number of patients in each hospital increasing.  These data are most important for decision making and delivering the best care for patients. Healthcare providers are now faced with collecting, managing, storing and securing huge amounts of sensitive protected health information. As a result, an increasing number of healthcare organizations are turning to cloud based services. Cloud computing offers a viable, secure alternative to premise based healthcare solutions. The infrastructure of Cloud is characterized by a high volume storage and a high throughput. The privacy and security are the two most important concerns in cloud-based healthcare services. Healthcare organization should have electronic medical records in order to use the cloud infrastructure. This paper surveys the challenges of cloud in healthcare and benefits of cloud techniques in health care industries.

Healthcare Data Warehousing

2017 ◽  
Vol 4 (4) ◽  
pp. 1
Author(s):  
ARUNACHALAM S. ◽  
PAGE TOM ◽  
THORSTEINSSON G. ◽  
◽  
◽  
...  
Keyword(s):  
Data Warehousing ◽  
Healthcare Data

Performance Comparison among Meta Classifier Algorithms in WEKA

2019 ◽  
Vol 1 (2) ◽  
pp. 106-112
Author(s):  
Nur Amiratun Nazihah Roslan ◽  
Hairulnizam Mahdin ◽  
Shahreen Kasim
Keyword(s):  
Social Networking ◽  
Performance Comparison ◽  
Data Availability ◽  
Data Mining Tool ◽  
Huge Data ◽  
Technology Advancement ◽  
The Social ◽  
The World ◽  
Media Platform ◽  
Mining Tool

With the rise of social networking approach, there has been a surge of users generated content all over the world and with that in an era where technology advancement are up to the level where it could put us in a step ahead of pathogens and germination of diseases, we couldn’t help but to take advantage of that advancement and provide an early precaution measures to overcome it. Twitter on the other hand are one of the social media platform that provides access towards a huge data availability. To manipulate those data and transform it into an important information that could be used in many different scope that could help improve people’s life for the better. In this paper, we gather all algorithm that are available inside Meta Classifier to compare between them on which algorithm suited the most with the dengue fever dataset. This research are using WEKA as the data mining tool for data analyzation.

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