Intelligent, Interoperable, Relevance and Value Enrichment in Universal, Ubiquitous Electronic Health Records (EHRs)
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Electronic Health Records(EHR) are electronically maintained, linked, collections of allied, patient-related healthcare information collected during past encounters. They incorporate patient demographic information, encounter details, laboratory reports, prescription notes, past medical records, and other medical data. EHR creation is designed to support the future diagnosis, treatment, and decision making in patient care. However, since EHR technology is a burgeoning science, many facets lie under-used or under-utilized. Current implementations are confined to national boundaries managed by individual National Health Systems (NHS). Consolidated, universally interoperable EHR schemes are still a thing for the future; a migratory patient may not have his national EHR available in distant territories. Further, the examination of operational factors unearthed more inadequacies. Interoperability-related issues include the limiting network bandwidth causing inordinate delays, diverse local storage schemes at the various NHS clusters, the related requirement for synchronous vocabulary-related translation mechanisms at the various NHS-controlled boundaries causing inordinate delays, and the related security and access issues. These issues arise from the requirement for synchronous, query-messaging nature of information access and exchange. This paper articulates a novel, sound, and secure methodology for achieving true International Interoperability and uniform efficiency in ubiquitous Electronic Health Record systems. Utilizing intelligent machine learning processes, required query-messaging information is meaningfully aggregated enhancing the relevancy, access speed, and value-derivation from the given data. Asynchronous learning excludes the need for high available network bandwidth, upload and download delays associated with current synchronous database/cloud systems. Indeed, this overarching solution ensures seamless synchronous operation and high-end international interoperability, and would work in any ubiquitous EHR environment
Electronic Health Records(EHR) are electronically maintained, linked, collections of allied, patient-related healthcare information collected during past encounters. They incorporate patient demographic information, encounter details, laboratory reports, prescription notes, past medical records, and other medical data. EHR creation is designed to support the future diagnosis, treatment, and decision making in patient care. However, since EHR technology is a burgeoning science, many facets lie under-used or under-utilized. Current implementations are confined to national boundaries managed by individual National Health Systems (NHS). Consolidated, universally interoperable EHR schemes are still a thing for the future; a migratory patient may not have his national EHR available in distant territories. Further, the examination of operational factors unearthed more inadequacies. Interoperability-related issues include the limiting network bandwidth causing inordinate delays, diverse local storage schemes at the various NHS clusters, the related requirement for synchronous vocabulary-related translation mechanisms at the various NHS-controlled boundaries causing inordinate delays, and the related security and access issues. These issues arise from the requirement for synchronous, query-messaging nature of information access and exchange. This paper articulates a novel, sound, and secure methodology for achieving true International Interoperability and uniform efficiency in ubiquitous Electronic Health Record systems. Utilizing intelligent machine learning processes, required query-messaging information is meaningfully aggregated enhancing the relevancy, access speed, and value-derivation from the given data. Asynchronous learning excludes the need for high available network bandwidth, upload and download delays associated with current synchronous database/cloud systems. Indeed, this overarching solution ensures seamless synchronous operation and high-end international interoperability, and would work in any ubiquitous EHR environment
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Sabar, I., Jayaweera, P.M., Edirisuriya, A. (2016). "Intelligent, Interoperable, Relevance and Value Enrichment in Universal, Ubiquitous Electronic Health Records (EHRs)"