A cloud–edge reference architecture for intertwining health digital domains.
Objective: In the present work, LinkAll is introduced as a novel architectural model designed to enable real-time monitoring and cross-referential data analysis in remote monitoring systems across human, animal, and environmental health domains. LinkAll leverages Edge-Computing and Internet of Thing...
| Publicado en: | Health Informatics Journal Vol. 32; no. 1; pp. 1 - 26 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Sage Publications Inc.
Jan-Mar2026
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=192656054&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 192656054 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 14604582 EJK jtl: Health Informatics Journal issn: 14604582 maglogo: Y pubinfo: dt: Jan-Mar2026 vid: 32 iid: 1 pid: 344 pub: Sage Publications Inc. place: Thousand Oaks, California artinfo: ui: 192656054 192656054 192656054 10.1177/14604582251383803 192656054 ppf: 1 ppct: 25 formats: tig: atl: A cloud–edge reference architecture for intertwining health digital domains. aug: au: Tramontano, Adriano Tamburis, Oscar Perillo, Giulio Iaccarino, Guido Benis, Arriel Magliulo, Mario affil: National Research Council of Italy, Institute of Biostructures and Bioimaging (IBB–CNR), Naples, Italy sug: subj: Computing Methodologies Cloud Computing Digital Health Systems Design Computer Communication Networks Telemetry Methods Data Collection Methods Computers and Computerization Software Programming Languages Security Measures Privacy and Confidentiality Data Security Funding Source ab: Objective: In the present work, LinkAll is introduced as a novel architectural model designed to enable real-time monitoring and cross-referential data analysis in remote monitoring systems across human, animal, and environmental health domains. LinkAll leverages Edge-Computing and Internet of Things principles to handle data collection, processing, and presentation from various sources. Methods: Two sibling systems were implemented to demonstrate its capability, one for monitoring urban greenery and the other for elderly home care. These systems were evaluated based on their ability to integrate with existing information systems, collect biophysical parameters, and ensure data cross-referencing. Results: Both systems demonstrate effective pluggability and cross-referenceability performances, meeting the stakeholders' requirements. LinkAll's ability to integrate diverse sensors and devices into existing infrastructures while providing real-time, machine-actionable insights, is also underscored. Conclusion: Pluggability, cross-referenceability, and compliance with FAIR principles make the architectural model introduced a robust solution for integrating human, animal, and environmental health monitoring systems, enhancing decision-making and contributing to One (Digital) Health's strategic goals. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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