About: HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections
Creator	Riazanov, Alexandre Shaban-Nejad, Arash Tamblyn, Robyn Buckeridge, David Baker, Christopher Charland, Katia Forster, Alan Rose, Gregory
Source	Elsevier; Medline; PMC
abstract	Abstract Healthcare-Associated Infections (HAI) impose a substantial health and financial burden. Surveillance for HAI is essential to develop and evaluate prevention and control efforts. The traditional approaches to HAI surveillance are often limited in scope and efficiency by the need to manually obtain and integrate data from disparate paper charts and information systems. The considerable effort required for discovery and integration of relevant data from multiple sources limits the current effectiveness of HAI surveillance. Knowledge-based systems can address this problem of contextualizing data to support integration and reasoning. In order to facilitate knowledge-based decision making in this area, availability of a reference vocabulary is crucial. The existing terminologies in this domain still suffer from inconsistencies and confusion in different medical/clinical practices, and there is a need for their further improvement and clarification. To develop a common understanding of the infection control domain and to achieve data interoperability in the area of hospital-acquired infections, we present the HAI Ontology (HAIO) to improve knowledge processing in pervasive healthcare environments, as part of the HAIKU (Hospital Acquired Infections – Knowledge in Use) system. The HAIKU framework assists physicians and infection control practitioners by providing recommendations regarding case detection, risk stratification and identification of diagnostic factors.
has issue date	2012-12-31(xsd:dateTime)
bibo:doi	10.1016/j.procs.2012.06.151
bibo:pmid	32288895
has license	els-covid
sha1sum (hex)	3ddfbd42a368e2bc6f706f91bf0b238a12e14987
schema:url	https://doi.org/10.1016/j.procs.2012.06.151
resource representing a document's title	HAIKU: A Semantic Framework for Surveillance of Healthcare-Associated Infections
has PubMed Central identifier	PMC7129430
has PubMed identifier	32288895
schema:publication	Procedia Computer Science
resource representing a document's body	covid:3ddfbd42a368e2bc6f706f91bf0b238a12e14987#body_text
is schema:about of	named entity 'PEER' named entity 'INFECTIONS' named entity 'availability' named entity 'address' named entity 'develop' named entity 'integration' named entity 'problem' named entity 'peer-review' named entity 'INTERNATIONAL' named entity 'WORKSHOP' named entity 'SURVEILLANCE' named entity 'ASSISTS' named entity 'INTEROPERABILITY' named entity 'EFFECTIVENESS' named entity 'HAI' named entity 'PROVIDING' named entity 'APPLICATIONS' named entity 'ORGANIZER' named entity 'CLARIFICATION' named entity 'ORDER' named entity 'SURVEILLANCE' named entity 'PROBLEM' named entity 'PERVASIVE HEALTHCARE' named entity 'ADDRESS' named entity 'PHYSICIANS' named entity 'RISK STRATIFICATION' named entity 'SUFFER' named entity 'DECISION MAKING' named entity 'BURDEN' named entity 'SYSTEM' named entity 'ENVIRONMENTS' named entity 'APPROACHES' named entity 'ACQUIRED' named entity 'EFFICIENCY' named entity 'SYSTEMS' named entity 'SEMANTIC' named entity 'HEALTHCARE' named entity 'RESPONSIBILITY' named entity 'AREA' named entity 'DIAGNOSTIC FACTORS' named entity 'FINANCIAL' named entity 'IDENTIFICATION' named entity 'DISCOVERY' named entity 'CONSIDERABLE' named entity 'TRADITIONAL' named entity 'REVIEW' named entity 'PERVASIVE' named entity 'ASSOCIATED' named entity 'AMBIENT' named entity 'OBTAIN' named entity 'TERMINOLOGIES' named entity 'PART OF' named entity 'SOURCES' named entity 'DIFFERENT' named entity 'NEED FOR' named entity 'CHARTS' named entity 'NEED' named entity 'HEALTH' named entity 'IMPROVEMENT' named entity 'SCOPE' named entity 'IS A' named entity 'INFECTION CONTROL' named entity 'A COMMON' named entity 'PRESENT' named entity 'TECHNOLOGIES' named entity 'MANUALLY' named entity 'TO SUPPORT' named entity 'USE' named entity 'CURRENT' named entity 'SYSTEMS' named entity 'IMPOSE' named entity 'BASED' named entity 'THEIR' named entity 'PRACTICES'

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