2020
DOI: 10.1038/s41746-019-0211-0
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Blockchain vehicles for efficient Medical Record management

Abstract: The lack of interoperability in Britain’s medical records systems precludes the realisation of benefits generated by increased spending elsewhere in healthcare. Growing concerns regarding the security of online medical data following breaches, and regarding regulations governing data ownership, mandate strict parameters in the development of efficient methods to administrate medical records. Furthermore, consideration must be placed on the rise of connected devices, which vastly increase the amount of data tha… Show more

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Cited by 319 publications
(221 citation statements)
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“…The workshops explored food availability and purchasing behaviour change during the pandemic. This information was then collated using software called (Systems Thinking for Community Knowledge Exchange (STICKE) [ 28 ] in order to create a visual representation (causal loop diagram or CLD) of the group’s shared understanding of the problem. [ 27 ].…”
Section: Methodsmentioning
confidence: 99%
“…The workshops explored food availability and purchasing behaviour change during the pandemic. This information was then collated using software called (Systems Thinking for Community Knowledge Exchange (STICKE) [ 28 ] in order to create a visual representation (causal loop diagram or CLD) of the group’s shared understanding of the problem. [ 27 ].…”
Section: Methodsmentioning
confidence: 99%
“…History sharing of patient bio-signals can reduce medical costs and diagnostic errors by avoiding unnecessary duplicate testing and prescriptions. In IoMT security, blockchain can prevent the manipulation of personal health records by providing patient data to hospitals and insurance companies as encrypted hashes [47]. In addition, medical institutions can collect medical records from multiple hospitals and conduct precise care that is appropriate for their patients.…”
Section: Discussionmentioning
confidence: 99%
“…Policymakers should also be aware of the challenges associated with scaling up successful local pilot experiments to a higher level or across contexts ( Gilson and Schneider 2010 ). COVID-19 has seen adaptive policy experimentation on multiple levels, from the deployment of AI-assisted chatbots to disseminate curated information ( Miner, Laranjo, and Kocaballi 2020 ) to the repurposing of streets for pedestrians and bicycles ( Connolly 2020 ). While many of these experiments emerged as ad hoc emergency responses, desirable new practices, rules, and norms have the potential to become “locked-in.” However, the long-term success of such initiatives will hinge largely on the ability and willingness of non-state actors to participate within local political processes.…”
Section: Covid-19 Pandemic Response: Systemic Design Principles and Pmentioning
confidence: 99%