scholarly journals Having Our “Omic” Cake and Eating It Too?: Evaluating User Response to Using Blockchain Technology for Private and Secure Health Data Management and Sharing

2021 ◽  
Vol 3 ◽  
Author(s):  
Victoria L. Lemieux ◽  
Darra Hofman ◽  
Hoda Hamouda ◽  
Danielle Batista ◽  
Ravneet Kaur ◽  
...  

This paper reports on end users' perspectives on the use of a blockchain solution for private and secure individual “omics” health data management and sharing. This solution is one output of a multidisciplinary project investigating the social, data, and technical issues surrounding application of blockchain technology in the context of personalized healthcare research. The project studies potential ethical, legal, social, and cognitive constraints of self-sovereign healthcare data management and sharing, and whether such constraints can be addressed through careful design of a blockchain solution.

Cryptography ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 3 ◽  
Author(s):  
Asad Ali Siyal ◽  
Aisha Zahid Junejo ◽  
Muhammad Zawish ◽  
Kainat Ahmed ◽  
Aiman Khalil ◽  
...  

Blockchain technology has gained considerable attention, with an escalating interest in a plethora of numerous applications, ranging from data management, financial services, cyber security, IoT, and food science to healthcare industry and brain research. There has been a remarkable interest witnessed in utilizing applications of blockchain for the delivery of safe and secure healthcare data management. Also, blockchain is reforming the traditional healthcare practices to a more reliable means, in terms of effective diagnosis and treatment through safe and secure data sharing. In the future, blockchain could be a technology that may potentially help in personalized, authentic, and secure healthcare by merging the entire real-time clinical data of a patient’s health and presenting it in an up-to-date secure healthcare setup. In this paper, we review both the existing and latest developments in the field of healthcare by implementing blockchain as a model. We also discuss the applications of blockchain, along with the challenges faced and future perspectives.


2021 ◽  
Vol 11 (24) ◽  
pp. 11693
Author(s):  
Qianyu Wang ◽  
Shaowen Qin

This study examined the requirements for privacy-preserving and interoperability in healthcare data sharing and proposed a blockchain-based solution. The Hyperledger Fabric framework was adopted due to its enterprise-grade data processing capabilities and enhanced privacy protection functions. In addition to the Fabric’s built-in privacy-preserving functions, healthcare data-specific smart contracts with hierarchical access control were developed to strengthen privacy protection in data sharing. The proposed healthcare data-sharing framework is based on Australian medical practices with the aim to upgrade, rather than to replace, the existing data management models. The outcome of this study demonstrates the feasibility of applying blockchain technology to improve privacy-preservation while enhancing interoperability in healthcare data management.


Author(s):  
Ahmed I. Taloba ◽  
Alanazi Rayan ◽  
Ahmed Elhadad ◽  
Amr Abozeid ◽  
Osama R. Shahin ◽  
...  

2021 ◽  
pp. 91-118
Author(s):  
Omar Ali ◽  
Ashraf Jaradat ◽  
Mustafa Ally ◽  
Sareh Rotabi

Author(s):  
Zehra Ozge Candereli ◽  
Serhat Burmaoglu ◽  
Levent B. Kidak ◽  
Dilek Ozdemir Gungor

Recently, one of the inventive developments penetrating many industries is blockchain technology. In the era of globalization and digitalization, blockchain has garnered interest in various application fields from health data management to clinical trials. In this study, we aimed to explore blockchain applications in healthcare with an explorative perspective with a scientometrics analysis. With this analysis, the trends and evolutionary relations between health and blockchain technology were examined via the queries in the Web of Science database. In the analysis, the author keyword co-occurrences were used for demonstrating concept relationships. To understand the new emerging study field, VosViewer was used for network visualizations and CiteSpace free java-based software was used for scientometrics analysis. As a result, it can be implied that the main focus areas of the studies on blockchain are solving payment systems, digital identity, and privacy and security issues in healthcare field.


2021 ◽  
Vol 50 (3) ◽  
pp. 32-35
Author(s):  
Haridimos Kondylakis ◽  
Kostas Stefanidis ◽  
Praveen Rao

Creating a holistic view of patient data comes with many challenges but also brings many benefits for disease prediction, prevention, diagnosis, and treatment. Especially in the COVID-19 era, this is more important than ever before. The third International Workshop on Semantic Web Meets Health Data Management (SWH) was aimed at bringing together an interdisciplinary audience who was interested in the fields of Semantic Web, data management, and health informatics. The workshop goal was to discuss the challenges in healthcare data management and to propose new solutions for the next generation of data-driven healthcare systems. In this article, we summarize the outcomes of the workshop, and we present a number of key observations and research directions that emerged from presentations.


2021 ◽  
Author(s):  
Xi Shi ◽  
Gorana Nikolic ◽  
Scott Fischaber ◽  
Michaela Black ◽  
Debbie Rankin ◽  
...  

BACKGROUND Healthcare data is a rich yet underutilized resource due to its disconnected, heterogeneous nature. A means of connecting healthcare data and integrating it with additional open and social data in a secure way can support the monumental challenge policy-makers face in safely accessing all relevant data to assist in managing the health and wellbeing of all. OBJECTIVE The goal of this study was to develop a novel health data platform within the MIDAS (Meaningful Integration of Data Analytics and Services) project, that harnesses the potential of latent healthcare data in combination with open and social data to support evidence-based health policy decision-making in a privacy-preserving manner. METHODS The MIDAS platform was developed in an iterative and collaborative way with close involvement of academia, industry, healthcare staff and policy-makers, to solve tasks including data storage, data harmonization, data analytics and visualizations, and open and social data analytics. The platform has been piloted and tested by health departments in four European countries, each focusing on different region-specific health challenges and related data sources. RESULTS A novel health data platform solving the needs of Public Health decision-makers was successfully implemented within the four pilot regions connecting heterogeneous healthcare datasets and open datasets and turning large amounts of previously isolated data into actionable information allowing for evidence-based health policy-making and risk stratification through the application and visualization of advanced analytics. CONCLUSIONS The MIDAS platform delivers a secure, effective and integrated solution to deal with health data, providing support for health policy decision-making, planning of public health activities and the implementation of the Health in All Policies approach. The platform has proven transferable, sustainable and scalable across policies, data and regions.


Author(s):  
Soeren Bittins ◽  
Gerhard Kober ◽  
Andrea Margheri ◽  
Massimiliano Masi ◽  
Abdallah Miladi ◽  
...  

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