Blockchain Affordances for Digital Health- A Conceptual Framework and Research Agenda (Preprint)

2021 ◽  
Author(s):  
Arnob Zahid ◽  
Stephen C. Wingreen ◽  
Ravishankar Sharma
Keyword(s):  
Data Storage ◽  
Digital Health ◽  
Security And Privacy ◽  
Dark Side ◽  
Data Provenance ◽  
Full Potential ◽  
Research Attention ◽  
The Future ◽  
Infrastructural Support ◽  
And Storage

BACKGROUND The current digital health context is incapable of supporting the future need for data security and storage in digital health services. It requires implementing a robust, interoperable, and scalable data storage and security solution to address this future need. Blockchain is an emerging information technology that can support this industry's timely needs. Therefore, a clear foundational understanding of Blockchain affordances for digital health is significant to harness its full potential. OBJECTIVE Objective: This paper presents a comprehensive review of Blockchain affordances for digital health. The review aims to: 1) identify the perceived Blockchain affordances and 2) explore the recent Blockchain research in digital health (actualized). METHODS We applied the Systematic Literature Review (SLR) methodology to review the literature extant. Furthermore, we applied the affordance theory lens to define and defend our findings on Blockchain affordances. RESULTS A total of 3627 relevant papers have been identified and analysed in this review study. Of these, 90 were probed deeply. Our analysis identified 14 Blockchain affordances (Access control, Interoperability, Security, Tamper-resistance, Traceability, Anonymity, Data Provenance, Identity, Immutability, Integrity, Privacy, Transparency, and Trust) which are perceived and actualized in digital health. Our study also discovered several constraints in Blockchain implementation such as security and privacy, interoperability, scalability, and infrastructural support that requires further research attention. CONCLUSIONS We believe this study will guide further Blockchain research in the digital health domain and informatively contribute to eliminating (decreasing) the dark side of digital health and improving (increasing) the bright side for the future.

scholarly journals The future of digital health with federated learning

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Nicola Rieke ◽  
Jonny Hancox ◽  
Wenqi Li ◽  
Fausto Milletarì ◽  
Holger R. Roth ◽  
...  
Keyword(s):  
Statistical Models ◽  
Digital Health ◽  
Healthcare Systems ◽  
Medical Data ◽  
Data Driven ◽  
Full Potential ◽  
Sufficient Data ◽  
Key Factors ◽  
Privacy Concerns ◽  
The Future

Abstract Data-driven machine learning (ML) has emerged as a promising approach for building accurate and robust statistical models from medical data, which is collected in huge volumes by modern healthcare systems. Existing medical data is not fully exploited by ML primarily because it sits in data silos and privacy concerns restrict access to this data. However, without access to sufficient data, ML will be prevented from reaching its full potential and, ultimately, from making the transition from research to clinical practice. This paper considers key factors contributing to this issue, explores how federated learning (FL) may provide a solution for the future of digital health and highlights the challenges and considerations that need to be addressed.

A System Architecture for Data Storage in the Cloud

2015 ◽  
Vol 3 (2) ◽  
Author(s):  
Maryam Hammami ◽  
Hatem Bellaaj
Keyword(s):  
Data Storage ◽  
System Architecture ◽  
Cloud Storage ◽  
The Other ◽  
Important Data ◽  
Work In Progress ◽  
Flexible System ◽  
Other Hand ◽  
Data Manager ◽  
And Storage

The Cloud storage is the most important issue today. This is due to a rapidly changing needs and a huge mass of varied and important data to back up. In this paper, we describe a work in progress and propose a flexible system architecture for data storage in the Cloud. This system is centered on the Data Manager module. This module provides various functions such as the dispersion of data in fragments, encryption and storage of fragments... etc. This architecture proves to be very relevant. It ensures consistency between different components. On the other hand, it ensures the security and availability of data.

Social Media and the Transformation of Healthcare: A Viewpoint (Preprint)

2020 ◽  
Author(s):  
Ella Forgie ◽  
Hollis Lai ◽  
Bo Cao ◽  
Eleni Stroulia ◽  
Andrew James Greenshaw ◽  
...  
Keyword(s):  
Social Media ◽  
Health Information ◽  
Information Seeking ◽  
Virtual Communities ◽  
Community Support ◽  
Security And Privacy ◽  
Support Network ◽  
Full Potential ◽  
Physician Patient Relationship ◽  
Mediation Effects

UNSTRUCTURED As many as 80% of internet users seek health information online. The social determinants of health (SDoH) are intimately related to who has access to the internet and healthcare as a whole. Those who face more barriers to care are more likely to benefit from accessing health information online, granted the information they are retrieving is accurate. Virtual communities on social media platforms are particularly interesting as venues for seeking health information online because peers have been shown to influence health behaviour more than almost anything else. Thus, it is important to recognize the potential of social media to have positive mediation effects on health, so long as any negative mediation effects are reconcilable. As a positive mediator of health, social media can be used as a direct or indirect mode of communication between physicians and patients, a venue for health promotion and health information, and a community support network. False or misleading content, social contagion, confirmation bias, and security and privacy concerns must be mitigated in order to realize full potential of social media as a positive mediator of health. In any case, it is clear that the intersections between the SDoH, social media, and health are intimate, and they must be taken into consideration by physicians. Here, we argue that a paradigm shift in the physician-patient relationship is warranted, one where physicians: a) acknowledge the impacts of the SDoH on information-seeking behaviour, b) recognize the positive and negative roles of social media as a mediator of health through the lens of the SDoH, and c) use social media to catalyze positive changes in the standard of care.

scholarly journals Driving digital transformation of comprehensive primary health services at scale in India: an enterprise architecture framework

2021 ◽  
Vol 6 (Suppl 5) ◽  
pp. e005242
Author(s):  
Sunita Nadhamuni ◽  
Oommen John ◽  
Mallari Kulkarni ◽  
Eshan Nanda ◽  
Sethuraman Venkatraman ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Services ◽  
Primary Healthcare ◽  
Enterprise Architecture ◽  
Digital Health ◽  
Security And Privacy ◽  
Primary Health ◽  
Architecture Framework ◽  
Primary Health Services ◽  
Enterprise Architecture Framework

In its commitment towards Sustainable Development Goals, India envisages comprehensive primary health services as a key pillar in achieving universal health coverage. Embedded in siloed vertical programmes, their lack of interoperability and standardisation limits sustainability and hence their benefits have not been realised yet. We propose an enterprise architecture framework that overcomes these challenges and outline a robust futuristic digital health infrastructure for delivery of efficient and effective comprehensive primary healthcare. Core principles of an enterprise platform architecture covering four platform levers to facilitate seamless service delivery, monitor programmatic performance and facilitate research in the context of primary healthcare are listed. A federated architecture supports the custom needs of states and health programmes through standardisation and decentralisation techniques. Interoperability design principles enable integration between disparate information technology systems to ensure continuum of care across referral pathways. A responsive data architecture meets high volume and quality requirements of data accessibility in compliance with regulatory requirements. Security and privacy by design underscore the importance of building trust through role-based access, strong user authentication mechanisms, robust data management practices and consent. The proposed framework will empower programme managers with a ready reference toolkit for designing, implementing and evaluating primary care platforms for large-scale deployment. In the context of health and wellness centres, building a responsive, resilient and reliable enterprise architecture would be a fundamental path towards strengthening health systems leveraging digital health interventions. An enterprise architecture for primary care is the foundational building block for an efficient national digital health ecosystem. As citizens take ownership of their health, futuristic digital infrastructure at the primary care level will determine the health-seeking behaviour and utilisation trajectory of the nation.

scholarly journals Transparent CoAP Services to IoT Endpoints through ICN Operator Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1339 ◽  
Author(s):  
Hasan Islam ◽  
Dmitrij Lagutin ◽  
Antti Ylä-Jääski ◽  
Nikos Fotiou ◽  
Andrei Gurtov
Keyword(s):  
Storage Capacity ◽  
Communication Overhead ◽  
Full Potential ◽  
Core Network ◽  
Computation Complexity ◽  
State Management ◽  
Iot Devices ◽  
Novel Applications ◽  
And Storage ◽  
The Internet Of Things

The Constrained Application Protocol (CoAP) is a specialized web transfer protocol which is intended to be used for constrained networks and devices. CoAP and its extensions (e.g., CoAP observe and group communication) provide the potential for developing novel applications in the Internet-of-Things (IoT). However, a full-fledged CoAP-based application may require significant computing capability, power, and storage capacity in IoT devices. To address these challenges, we present the design, implementation, and experimentation with the CoAP handler which provides transparent CoAP services through the ICN core network. In addition, we demonstrate how the CoAP traffic over an ICN network can unleash the full potential of the CoAP, shifting both overhead and complexity from the (constrained) endpoints to the ICN network. The experiments prove that the CoAP Handler helps to decrease the required computation complexity, communication overhead, and state management of the CoAP server.

Design of FPGA-Based Missile-Borne Image Acquisition and Storage Recorder

2015 ◽  
Vol 713-715 ◽  
pp. 1448-1451
Author(s):  
Lin Lu ◽  
Yan Feng Zhang ◽  
Xiao Feng Li
Keyword(s):  
Real Time ◽  
Data Storage ◽  
Storage System ◽  
Large Data ◽  
Engineering Practice ◽  
Image Storage ◽  
Video Images ◽  
Stable Performance ◽  
And Storage ◽  
Time Image

The high-altitude missile and other special application occasions have requirements on image storage system, such as small size, high storage speed, low temperature resistance, etc. Commonly used image storage system in the market cannot meet such requirement. In the paper, real-time image storage system solutions on missile based on FPGA should be proposed. The system mainly consists of acquisition module and memory reading module. The whole system adopts FPGA as main control chip for mainly completing real-time decoding and acquisition on one path of PAL format video images, reading and writing of NandFlash chipset, erasure, bad block management and so on. The solution has passed various environmental tests with stable performance, large data storage capacity and easy expansion, which has been used in engineering practice.

scholarly journals Design on Big data Platform-based in Higher Education Institute

2020 ◽  
Vol 10 (4) ◽  
pp. 36
Author(s):  
Sajeewan Pratsri ◽  
Prachyanun Nilsook
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Data Analysis ◽  
Digital Media ◽  
Data Storage ◽  
Security And Privacy ◽  
Digital Learning ◽  
Learning Platform ◽  
Data Platform ◽  
Tools And Techniques

According to a continuously increasing amount of information in all aspects whether the sources are retrieved from an internal or external organization, a platform should be provided for the automation of whole processes in the collection, storage, and processing of Big Data. The tool for creating Big Data is a Big Data challenge. Furthermore, the security and privacy of Big Data and Big Data analysis in organizations, government agencies, and educational institutions also have an impact on the aspect of designing a Big Data platform for higher education institute (HEi). It is a digital learning platform that is an online instruction and the use of digital media for educational reform including a module provides information on functions of various modules between computers and humans. 1) Big Data architecture is a framework for an architecture of numerous data which consisting of Big Data Infrastructure (BDI), Data Storage (Cloud-based), processing of a computer system that uses all parts of computer resources for optimal efficiency (High-Performance Computing: HPC), a network system to detect the target device network. Thereafter, according to Hadoop’s tools and techniques, when Big Data was introduced with Hadoop's tools and techniques, the benefits of the Big Data platform would provide desired data analysis by retrieving existing information, to illustrate, student information and teaching information that is large amounts of information to adopt for accurate forecasting.

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