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Related Experiment Videos

Advanced alerting features: displaying new relevant data and retracting alerts

G J Kuperman1, F L Hiltz, J M Teich

  • 1Department of Information Systems, Partners Healthcare System, Boston, MA, USA.

Proceedings : a Conference of the American Medical Informatics Association. AMIA Fall Symposium
|January 1, 1997
PubMed
Summary

New features in automated alerting systems display relevant patient data and retract alerts when criteria change. This improves clinical review by providing timely information and reducing outdated notifications.

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Area of Science:

  • Medical Informatics
  • Clinical Laboratory Science

Background:

  • Automated alerting systems are crucial for timely clinical decision-making.
  • Effective alert management requires accurate and relevant data presentation.

Purpose of the Study:

  • To evaluate two new features enhancing an automated alerting system.
  • To assess the display of new relevant data during alert review.
  • To evaluate the retraction of alerts when criteria are no longer met.

Main Methods:

  • Implemented and evaluated a feature displaying data added between specimen login and alert review.
  • Implemented and evaluated a feature for retracting alerts based on modified criteria.
  • Conducted a 14-week evaluation for new data display and a 6-week evaluation for retractions.

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Main Results:

  • Over 14 weeks, 25.9% of 1104 alerts had new relevant data displayed.
  • New data included comments (75.2%) and new laboratory results (24.1%).
  • Two alerts (0.4%) were retracted out of 490 during a 6-week period.

Conclusions:

  • Clinically relevant data is frequently added after specimen login but before alert review.
  • Alert retractions are rare but essential for accurate system performance.
  • These features enhance the utility and reliability of automated clinical alerts.