Opportunities for use of blockchain technology in medicine

Blockchain technology is a decentralized database that stores a registry of assets and transactions across a peer-to-peer computer network, which is secured through cryptography, and over time, its history gets locked in blocks of data that are cryptographically linked together and secured. So far, there have been use cases of this technology for cryptocurrencies, digital contracts, financial and public records, and property ownership. It is expected that future uses will expand into medicine, science, education, intellectual property, and supply chain management. Likely applications in the field of medicine could include electronic health records, health insurance, biomedical research, drug supply and procurement processes, and medical education. Utilization of blockchain is not without its weaknesses and currently, this technology is extremely immature and lacks public or even expert knowledge, making it hard to have a clear strategic vision of its true future potential. Presently, there are issues with scalability, security of smart contracts, and user adoption. Nevertheless, with capital investments into blockchain technology projected to reach US$400 million in 2019, health professionals and decision makers should be aware of the transformative potential that blockchain technology offers for healthcare organizations and medical practice

Conceptual Model of Personal Competence Integrator Based on Blockchain Technology

Employee competences play a significant role in the labor market, influencing the development of the global economy. Previous studies have largely focused on the management of documents confirming the competence and credibility of these documents. Carrying out an in-depth analysis of acts, vocational regulations, and government reports, a conceptual model was developed that integrates competencies and skills data description, documents and all other forms of confirmation of competence acquisition. Application of blockchain technology allows integration all data into one autonomous system while using exiting competencies ledgers. The developed IT conceptual model meets the requirements of all interested parties: employees, employers and organizations issuing such documents. The findings are of great importance for improving the effectiveness of managing information on individual competencies

A Study of Blockchain Framework–Hyperledger Fabric and Implementation as Educational Network

Blockchain, the foundation for Bitcoin, has gained lots of attention recently. Blockchain works as a distributed ledger technology that allows information exchange to take place in a distributed way, and ledger is immutable. Blockchain database removes the necessity of the centralized system; therefore, applications based on Blockchain are getting high in number. This paper covers an discuss in detail of blockchain technology, and its consensus algorithms along with workflow, how trust has will be upon a system having no centralized system. This paper also studies various frameworks being built upon the blockchain systems and how they are helpful in solving many organizational issues and Developing of an application on an existing blockchain framework which is an access based system, has information regarding academic records, certifications and eligibility requirement examination records belong to a person, who can share with any organization, eliminating the need of physical documents

Organizational Learning Through Disruptive Digital Innovation. A Blockchain Implementation

Organizational learning and management are at a transition point because of the shift in disruptive digital innovations (DDI). Organizing axioms are challenged or fundamentally changed by the nature of innovation (Nambisan, Lyytinen, Majchrzak, & Song, 2017). There is widespread recognition that investing in organizational learning drives change and innovation (Linares, 2017). The early research examined DDI and the factors that enable or inhibit it. However, there is a limited amount of research on the relationship between DDI and organizational learning. More specifically, research that is conducted to understand the theoretical relationship between organizational learning and DDI is needed. The phenomenon has been studied in the rich context of information technology (IT) and supply chain management (SCM). In this research, a single case study approach is used to examine single- and double-loop learning. IT organizations use DDI to remain practical in a dynamic environment. In the present study, the DDI framework is used to illustrate how organizational learning is facilitated. Recommendations are offered on how IT organizations could enhance organizational learning to improve project implementation and delivery related to disruptive digital innovation

The IHI Rochester Report 2022 on Healthcare Informatics Research: Resuming After the CoViD-19

In 2020, the CoViD-19 pandemic spread worldwide in an unexpected way and suddenly modified many life issues, including social habits, social relationships, teaching modalities, and more. Such changes were also observable in many different healthcare and medical contexts. Moreover, the CoViD-19 pandemic acted as a stress test for many research endeavors, and revealed some limitations, especially in contexts where research results had an immediate impact on the social and healthcare habits of millions of people. As a result, the research community is called to perform a deep analysis of the steps already taken, and to re-think steps for the near and far future to capitalize on the lessons learned due to the pandemic. In this direction, on June 09th-11th, 2022, a group of twelve healthcare informatics researchers met in Rochester, MN, USA. This meeting was initiated by the Institute for Healthcare Informatics-IHI, and hosted by the Mayo Clinic. The goal of the meeting was to discuss and propose a research agenda for biomedical and health informatics for the next decade, in light of the changes and the lessons learned from the CoViD-19 pandemic. This article reports the main topics discussed and the conclusions reached. The intended readers of this paper, besides the biomedical and health informatics research community, are all those stakeholders in academia, industry, and government, who could benefit from the new research findings in biomedical and health informatics research. Indeed, research directions and social and policy implications are the main focus of the research agenda we propose, according to three levels: the care of individuals, the healthcare system view, and the population view