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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Kamaleswaran, R. McGregor, C. James, A. |
| Copyright Year | 2012 |
| Description | Author affiliation: Department of Paediatrics, University of Toronto, Canada (James, A.) || University of Ontario Institute of Technology, Oshawa, Canada (Kamaleswaran, R.; McGregor, C.) |
| Abstract | Clinical Decision Support Systems (CDSSs) play important roles aiding in patient care; they provide accurate data analysis and timely evidence-informed recommendations. Although the availability of biomedical data continues to flourish, there have been limited translations of this type of data to information in real-time at the bedside. Existing systems have either focused on providing process-oriented or knowledge-modeled frameworks, often relying on retrospective data analysis. We have developed a framework capable of providing clinicians the ability to represent existing knowledge and processes in realtime. This framework presents a real-time environment for modeling clinical workflow processes abstracted from clinical guidelines, while applying existing knowledge to produce intelligent evidence-informed recommendations. In this paper we provide a framework to support the detection of neonatal hypoglycaemia using a design supporting the automated realtime, evidence-informed enactment of complex businessprocesses existing in clinical practice guidelines. |
| Starting Page | 933 |
| Ending Page | 936 |
| File Size | 663919 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457721762 |
| e-ISBN | 9781457721779 |
| e-ISBN | 9781457721755 |
| DOI | 10.1109/BHI.2012.6211741 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-01-05 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Guidelines Data analysis Pediatrics Decision support systems Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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