Authors:
Walter Koller
1
;
Klaus-Peter Adlassnig
2
;
Andrea Rappelsberger
3
and
Alexander Blacky
1
Affiliations:
1
Medical University of Vienna and Vienna General Hospital, Austria
;
2
Medical University of Vienna and Medexter Healthcare GmbH, Austria
;
3
Medical University of Vienna, Austria
Keyword(s):
Intelligent Information and Communication Technologies in Healthcare and Medicine, Knowledge Management, Intelligent Decision Support Systems, Surveillance of Healthcare-Associated Infections, Hospital Benchmarking.
Related
Ontology
Subjects/Areas/Topics:
Biomedical Engineering
;
Data Engineering
;
Decision Support Systems
;
Electronic Health Records and Standards
;
Enterprise Information Systems
;
Evaluation and Use of Healthcare IT
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Software Systems in Medicine
;
Web Information Systems and Technologies
Abstract:
Top healthcare and medicine depends on the implementation of best practice methods, which include surveillance of and benchmarking with defined quality indicators. Using healthcare-associated infection (HAI) surveillance as an example, we put forward arguments in favour of automated intelligent information and communication technologies. Assessment studies with our fully automated detection and monitoring system for HAIs not only revealed much higher precision of surveillance results and much less time investment compared with conventional surveillance, but also a potential emerged for amendments and adaptations regarding new input categories or new surveillance outputs desired by clinicians, administrators, and health authorities. In this way, intelligent information and communication technologies are becoming indispensable in building affordable “safety nets” for quality assurance and benchmarking, based on fully automated and intelligent data and knowledge management. These in tur
n form the backbone of high-level healthcare, patient safety, and error prevention.
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