Challenges in using the Arden Syntax for computer-based nosocomial infection surveillance
CONTEXT: Detection of outbreaks of infection in the hospital typically requires daily manual review of microbiology laboratory test results. This process is time-consuming, tedious, prone to error and may miss trends in infection. A standard formalism for procedural knowledge representation, the Ard...
| Veröffentlicht in: | Proceedings. AMIA Symposium. - 1998. - (2001) vom: 11., Seite 289-93 |
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| Format: | Aufsatz |
| Sprache: | English |
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2001
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| Zugriff auf das übergeordnete Werk: | Proceedings. AMIA Symposium |
| Schlagworte: | Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, P.H.S. |
| Zusammenfassung: | CONTEXT: Detection of outbreaks of infection in the hospital typically requires daily manual review of microbiology laboratory test results. This process is time-consuming, tedious, prone to error and may miss trends in infection. A standard formalism for procedural knowledge representation, the Arden Syntax, provides a vehicle for implementing algorithms for detecting such infections OBJECTIVE: To design and implement a computer-based system for detection of concerning patterns of infection or antibiotic resistance SETTING: Computer-based event monitor and central patient data repository at the Columbia-Presbyterian Medical Center (CPMC) RESULTS: We designed a two-phase system, including initial filtering of individual patient laboratory results by Arden Syntax Medical Logic Modules (MLMs) and subsequent aggregation and analysis across patients and locations using a statistical monitor. Preliminary data for the filtration phase demonstrate a 94.8% reduction in the volume of messages that must be considered in surveillance CONCLUSIONS: Filtering raw laboratory results using a standard formalism eases the process of aggregating data across patients and sites as well as detecting trends in infection. There is a need for augmenting such formalisms in order to enable population-based decision support |
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| Beschreibung: | Date Completed 24.05.2002 Date Revised 13.11.2018 published: Print Citation Status MEDLINE |
| ISSN: | 1531-605X |