Blockchain Technology in Healthcare : Key Factors determine the Adaptation of Blockchain in Healthcare form Multiple Perspectives

Blockchain has been attracting considerable attention as a secure and reliable technology for data sharing in different industries such as the financial sector, supply chain, energy, and healthcare. However, while much research on Blockchain focuses on technical and legal aspects of the blockchain applications, such as the cryptocurrency, a few number of research have addressed the factors influencing the strategic adoption decision at the organizational level. In this paper, we conduct a review of existing literature for the application of Blockchain in the healthcare ecosystem. Then, we define the critical issues within the healthcare ecosystem and how Blockchain can provide solutions. Finally, we categorized the influencing factors into three categories: organizational, technological, and environmental factors. This work should help address the gap of knowledge in literature by providing healthcare leaders and researchers more insight into the value and challenging aspects of considering solutions based on blockchain technology

Towards Blockchain-based Remote Management Systems for Patients with Movement Disorders

Secure storage and sharing of patients' medical data over the Internet are part of the challenges for emerging healthcare systems. The use of blockchain technology in medical Internet of things systems can be considered a safe and novel solution to overcome such challenges. Patients with movement disorders require multi-disciplinary management and must continuously receive medical care from a specialist. Due to the increasing costs of face-to-face treatment, especially during the pandemic, patients would highly benefit from remote monitoring and management. The proposed work presents a model for blockchain-based remote management systems for patients with movement disorders, especially those with Parkinson's disease. The model ensures a high level of integrity and decreases the security risks of medical data sharing.Comment: Presented at the 31th International Conference on Electrical Engineering (ICEE), Tehran, Iran, May 202

Build A Secure Healthcare System Based On the Metadata of Patient Information

Building a secure healthcare system based on metadata involves several key steps to ensure that patient information remains confidential and secure. Metadata refers to information about data, such as the time and date of creation, author, and location, rather than the content of the data itself. In this paper, there are many steps that considered when building a secure healthcare system based on metadata: we begin with defining metadata standards: Establishing metadata standards for healthcare data can help ensure consistency and interoperability across different systems. This can include standards for data elements, data formats, and data models. Implement access controls: Access controls should be implemented to restrict access to sensitive patient data. Role-based access control can be used to limit access to specific data based on job responsibilities. Use encryption: Encryption can be used to protect patient data from unauthorized access. Data encryption should be implemented at rest and in transit to protect data at all times. Secure storage: Patient data should be stored securely, including backups and archives. Secure storage can help prevent data loss and unauthorized access. We obtain a perfect time for processing compare with other resources and perfect time for check the metadata  and hyperlink of patient's information

India and the United Kingdom—What big data health research can do for a country

INTRODUCTION: Big data and growth in telecommunications have increased the enormous promise of an informatics approach to health care. India and the United Kingdom are two countries facing these challenges of implementing learning health systems and big data health research. ANALYSIS: At present, these opportunities are more likely to be exploited in the private sector or in public‐private partnerships (eg, Public Health Foundation of India [PHFI]) than public sector ventures alone. In both India and the United Kingdom, the importance of health informatics (HIs), a relatively new discipline, is being recognised and there are national initiatives in academic and health sectors to fill gaps in big data health research. The challenges are in many ways greater in India but outweighed by three potential benefits in health‐related scientific research: (a) increased productivity; (b) a learning health system with better use of data and better health outcomes; and (c) to fill workforce gaps in both research and practice. CONCLUSIONS: Despite several system‐level obstacles, in India, big data research in health care can improve the status quo, whether in terms of patient outcomes or scientific discovery. Collaboration between India and the United Kingdom in HI can result in mutual benefits to academic and health care delivery organisations in both countries and can serve as examples to other countries embracing the promises and the pitfalls of health care research in the digital era

India and the United Kingdom-What big data health research can do for a country.

INTRODUCTION: Big data and growth in telecommunications have increased the enormous promise of an informatics approach to health care. India and the United Kingdom are two countries facing these challenges of implementing learning health systems and big data health research. ANALYSIS: At present, these opportunities are more likely to be exploited in the private sector or in public-private partnerships (eg, Public Health Foundation of India [PHFI]) than public sector ventures alone. In both India and the United Kingdom, the importance of health informatics (HIs), a relatively new discipline, is being recognised and there are national initiatives in academic and health sectors to fill gaps in big data health research. The challenges are in many ways greater in India but outweighed by three potential benefits in health-related scientific research: (a) increased productivity; (b) a learning health system with better use of data and better health outcomes; and (c) to fill workforce gaps in both research and practice. CONCLUSIONS: Despite several system-level obstacles, in India, big data research in health care can improve the status quo, whether in terms of patient outcomes or scientific discovery. Collaboration between India and the United Kingdom in HI can result in mutual benefits to academic and health care delivery organisations in both countries and can serve as examples to other countries embracing the promises and the pitfalls of health care research in the digital era

Enhancing Data Security for Cloud Computing Applications through Distributed Blockchain-based SDN Architecture in IoT Networks

Blockchain (BC) and Software Defined Networking (SDN) are some of the most prominent emerging technologies in recent research. These technologies provide security, integrity, as well as confidentiality in their respective applications. Cloud computing has also been a popular comprehensive technology for several years. Confidential information is often shared with the cloud infrastructure to give customers access to remote resources, such as computation and storage operations. However, cloud computing also presents substantial security threats, issues, and challenges. Therefore, to overcome these difficulties, we propose integrating Blockchain and SDN in the cloud computing platform. In this research, we introduce the architecture to better secure clouds. Moreover, we leverage a distributed Blockchain approach to convey security, confidentiality, privacy, integrity, adaptability, and scalability in the proposed architecture. BC provides a distributed or decentralized and efficient environment for users. Also, we present an SDN approach to improving the reliability, stability, and load balancing capabilities of the cloud infrastructure. Finally, we provide an experimental evaluation of the performance of our SDN and BC-based implementation using different parameters, also monitoring some attacks in the system and proving its efficacy.Comment: 12 Pages 16 Figures 3 Table

Enhancing Confidentiality and Privacy Preservation in e-Health to Enhanced Security

Electronic health (e-health) system use is growing, which has improved healthcare services significantly but has created questions about the privacy and security of sensitive medical data. This research suggests a novel strategy to overcome these difficulties and strengthen the security of e-health systems while maintaining the privacy and confidentiality of patient data by utilising machine learning techniques. The security layers of e-health systems are strengthened by the comprehensive framework we propose in this paper, which incorporates cutting-edge machine learning algorithms. The suggested framework includes data encryption, access control, and anomaly detection as its three main elements. First, to prevent unauthorised access during transmission and storage, patient data is secured using cutting-edge encryption technologies. Second, to make sure that only authorised staff can access sensitive medical records, access control mechanisms are strengthened using machine learning models that examine user behaviour patterns. This research's inclusion of machine learning-based anomaly detection is its most inventive feature. The technology may identify variations from typical data access and usage patterns, thereby quickly spotting potential security breaches or unauthorised activity, by training models on past e-health data. This proactive strategy improves the system's capacity to successfully address new threats. Extensive experiments were carried out employing a broad dataset made up of real-world e-health scenarios to verify the efficacy of the suggested approach. The findings showed a marked improvement in the protection of confidentiality and privacy, along with a considerable decline in security breaches and unauthorised access events

Influential Article Review - Approaches for Integrated Medical Infrastructure Utilizing Blockchain Technology

This paper examines system innovation. We present insights from a highly influential paper. Here are the highlights from this paper: With a growing trend in medicine towards individualized, patient-centric care, traditional health information technology limits progress. With high administrative costs and the lack of universal data access, contemporary electronic medical records serve more the institution rather than the patient. Blockchain technology, as presently described, was initially developed for use in financial markets, serving as a decentralized, distributed ledger of transactions. However, certain inherent characteristics of this technology suit it for use in the healthcare sector. Potential applications of the blockchain in medicine include interoperable health data access, data storage and security, value-based payment mechanisms, medical supply chain efficiency, amongst others. While the technology remains in nascent stages, it is essential that members of the healthcare community understand the fundamental concepts behind blockchain and recognize its potential impact on the future of medical care. For our overseas readers, we then present the insights from this paper in Spanish, French, Portuguese, and German

Privacy-Aware Architectures for NFC and RFID Sensors in Healthcare Applications

World population and life expectancy have increased steadily in recent years, raising issues regarding access to medical treatments and related expenses. Through last-generation medical sensors, NFC (Near Field Communication) and radio frequency identification (RFID) technologies can enable healthcare internet of things (H-IoT) systems to improve the quality of care while reducing costs. Moreover, the adoption of point-of-care (PoC) testing, performed whenever care is needed to return prompt feedback to the patient, can generate great synergy with NFC/RFID H-IoT systems. However, medical data are extremely sensitive and require careful management and storage to protect patients from malicious actors, so secure system architectures must be conceived for real scenarios. Existing studies do not analyze the security of raw data from the radiofrequency link to cloud-based sharing. Therefore, two novel cloud-based system architectures for data collected from NFC/RFID medical sensors are proposed in this paper. Privacy during data collection is ensured using a set of classical countermeasures selected based on the scientific literature. Then, data can be shared with the medical team using one of two architectures: in the first one, the medical system manages all data accesses, whereas in the second one, the patient defines the access policies. Comprehensive analysis of the H-IoT system can be useful for fostering research on the security of wearable wireless sensors. Moreover, the proposed architectures can be implemented for deploying and testing NFC/RFID-based healthcare applications, such as, for instance, domestic PoCs

Re-establishment and Regarding Trust and Transparency, Blockchain’s Contribution to the Solution of a Thousand-Year Problem

Trust is the most important key element in the history of humanity and its success. We see and witness an emerging and exciting technology called Blockchain, eliminating losses caused by anti-trust and relieves pain in our social-build environment. Although the atmosphere in business, management, and society today has been heavily altered and involved, trust stays the same. This requirement leads companies in various industries to use new techniques to ensure their customer's business is in safe hands. Unfortunately, most of the current research is heavily based on the Bitcoin currency rather than its underlying technology, which focuses on revealing and improving Blockchain's limitations from managerial value perspectives. Many of the proposed solutions lack a concrete evaluation of their effectiveness. Many other Blockchain scalability related challenges, including throughput and latency, have been left unstudied. In this study, enabling functions is studied, and Blockchain's contribution to organisations' management is discussed. Besides, applicability in today's economic environment in various industries is studied. It is understood that after the development of technologies that eliminate centralised structures such as Blockchain, the business world is keen to adapt to this change. In this context, it is concluded that including new technologies such as Blockchain increased trust in various industries, and in the majority of the studies, Blockhain considered being an element to reduce costs and create a more transparent environment. It can be said that this technology contributes to the development and better understanding of the application area of the industries mentioned in the study