Abstract:The advent of wireless technologies and the development of more and better globally connected mobile devices, leverage real time health monitoring. Mobile health (m-health) promise to deliver health services anytime and anywhere, improving user convenience and enabling faster diagnoses without the need to travel to healthcare facilities. The use of m-health applications on mobile devices with the support of cloud computing is nowadays a technology trend that has many advantages, but also poses several challeng… Show more
“…The conceptual development of mHealth integrated BCT can be a valuable tool for management to improve a hospital's performance through intellectual technology (Ichikawa et al. , 2017; Pinto et al. , 2022; Sharma et al.…”
PurposeThe goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.Design/methodology/approachPotential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.FindingsThe study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.Practical implicationsPromoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.Originality/valueAt this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.
“…The conceptual development of mHealth integrated BCT can be a valuable tool for management to improve a hospital's performance through intellectual technology (Ichikawa et al. , 2017; Pinto et al. , 2022; Sharma et al.…”
PurposeThe goal of this research is to analyse the obstacles to the implementation of mobile health (mHealth) in India and to gain an understanding of the contextual inter-relationships that exist amongst those obstacles.Design/methodology/approachPotential barriers and their interrelationships in their respective contexts have been uncovered. Using MICMAC analysis, the categorization of these barriers was done based on their degree of reliance and driving power (DP). Furthermore, an interpretive structural modeling (ISM) framework for the barriers to mHealth activities in India has been proposed.FindingsThe study explores a total of 15 factors that reduce the efficiency of mHealth adoption in India. The findings of the Matrix Cross-Reference Multiplication Applied to a Classification (MICMAC) investigation show that the economic situation of the government, concerns regarding the safety of intellectual technologies and privacy issues are the primary obstacles because of the significant driving power they have in mHealth applications.Practical implicationsPromoters of mHealth practices may be able to make better plans if they understand the social barriers and how they affect each other; this leads to easier adoption of these practices. The findings of this study might be helpful for governments of developing nations to produce standards relating to the deployment of mHealth; this will increase the efficiency with which it is adopted.Originality/valueAt this time, there is no comprehensive analysis of the factors that influence the adoption of mobile health care with social cognitive theory in developing nations like India. In addition, there is a lack of research in investigating how each of these elements affects the success of mHealth activities and how the others interact with them. Because developed nations learnt the value of mHealth practices during the recent pandemic, this study, by investigating the obstacles to the adoption of mHealth and their inter-relationships, makes an important addition to both theory and practice.
“…The proposed solution aims to offer a reliable track and trace of critical information and data generated at every stage of blood supply while ensuring the privacy of participants. Pinto et al [19] propose a system for traceability and ownership of health data using blockchain technology. The proposed approach is based on Hyperledger Fabric and allows for the storage and secure access of a chronologically organized and immutable record of health data while preserving the necessary anonymity of medical information.…”
Section: A Blockchain-basedmentioning
confidence: 99%
“…Our proposed solution, along with [18] and [26], utilizes the Ethereum blockchain network, while [19] and [23] use Hyperledger Fabric, [24] implements a custom network, and [31] uses VeChainThor. Our solution, along with [26], also integrates off-chain decentralized storage, which is not found in the other solutions.…”
Medical devices play a crucial role in the global healthcare system, but their high cost has led to the increasing adoption of refurbished medical devices as a sustainable alternative for hospitals and patients around the world. The repositioning of refurbished devices into the market, however, is accompanied by a number of challenges, including concerns about quality and safety, as well as the risk of fraudulent activities such as counterfeiting. To address these challenges, we propose an NFT-based solution for managing refurbished medical devices that creates a secure, transparent, and verifiable record of the refurbishment process to ensure the safety and quality of these devices. The proposed solution utilizes dynamic composable NFTs as digital representations of medical devices, with replacement parts and certificate documents embedded in a parent-child NFT hierarchy, and reprocessing steps captured and reflected through the evolution of the dynamic tokens. This serves to authenticate and track the movement of refurbished devices while also providing a trustworthy means of managing individual devices and their ownership. Furthermore, the integration of non-transferable NFTs as certificates of refurbishment acts as an effective mechanism for detecting suspect medical devices and instances of fraudulent labeling, thereby increasing buyer confidence and promoting user safety. We leverage the Interplanetary File System to store and keep track of the metadata of the tokenized components of the system. We present the system architecture and implementation details with tested algorithms. We develop a front-end decentralized application (DApp) to interact with the designed smart contracts and showcase their functionalities. We also conduct security analysis to demonstrate our system is resistant to common vulnerabilities and exploits. The smart contract code is made available on GitHub.
“…We then compared this with the same blockchain-based health information model (Table 5) [125] [126]. where the costs of the other models are derived from the average price of one transaction in ether.…”
Faced with the impact of the coronavirus disease (COVID-19) pandemic, governments must protect the well-being of the population. Aside from considerations, such as keeping the virus from spreading and treating patients, the government should also be concerned about the mental health of its citizens during the epidemic. This study aimed to help users who develop depression due to COVID-19 on social media, reduce the cost of counselling, and reduce the need for users to visit the hospital for counselling. This study investigated the opportunities for blockchain technology to provide psychological help to social media users suffering from depression caused by the pandemic. Blockchain-based technology has been used to develop a new model that enables a user autonomy system to allow users to control their own data fully. The model utilizes a delegated proof of stake consensus blockchain to manage depression data to enable low cost and information security while discussing aspects related to trust, privacy, interoperability, and integration with other information communication technologies. The blockchain framework has been proven to provide secure and reliable information management that meets the user requirements for information autonomy. The framework can be combined with various other information technologies to extend its functionality further. Blockchain, privacy, user autonomy, depression, social media.
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