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Implications of event entry latency on anesthesia information management decision support systems
Richard H Epstein1, Franklin Dexter, Jesse M Ehrenfeld
1Department of Anesthesiology, Jefferson Medical College, Philadelphia, PA, USA. richard.epstein@jefferson.edu
Anesthesia and Analgesia
|February 20, 2009
Summary
Latency in anesthesia information management systems (AIMS) impacts decision support system (DSS) performance. Optimizing documentation timeliness and query intervals is crucial for accurate DSS recommendations in healthcare settings.
Area of Science:
- Medical Informatics
- Health Systems Engineering
- Clinical Decision Support
Background:
- Decision support systems (DSSs) leverage anesthesia information management systems (AIMS) for various healthcare functions.
- System performance is sensitive to data latency and query frequency, potentially compromising DSS recommendations.
Purpose of the Study:
- To evaluate the latency of critical events within AIMS.
- To determine the impact of query intervals on DSS performance.
- To compare latency across different AIMS implementations.
Main Methods:
- Analyzed ~48,000 cases at Hospital A, measuring latency for 'Surgery Begin' and 'Surgery End' events.
- Assessed latency from AIMS database entry to DSS query execution.
- Compared latencies across 1, 5, and 10-minute query intervals and between two hospitals with different AIMS.
Main Results:
- Network delays and AIMS processing added minimal latency (<1s and ~30s).
- Average latencies were half the query interval, but the longest 5% exceeded intervals.
- Hospital B showed significantly longer 90th/95th percentile latencies (8-30 min) compared to Hospital A.
Conclusions:
- DSS performance is significantly influenced by documentation timeliness, completeness, and query intervals.
- Healthcare facilities should assess event latencies and their impact on clinical and managerial decisions.
- Optimizing data flow and query strategies is essential for effective DSS utilization.
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