Surveillance Algorithms Can Detect Adverse Outcomes in Outpatient Settings

Researchers found triggers can be used to identify where adverse events are most likely to occur in outpatient surgery, according to an article published in Journal of Patient Safety.

The study assessed the performance of five triggers, using surveillance algorithms to flag cases where adverse events occurred in three larger healthcare systems' electronic medical records. The triggers flagged between 1-22 percent of outpatient surgery cases. The three triggers with the lowest proportion of flagged cases and the highest positive predictive value were pulmonary embolism, deep vein thrombosis and emergency department triggers. This means these triggers show the most promise for screening cases with a high likelihood an adverse event would occur.

Read the study about triggers detecting adverse outcomes.

Read other coverage about adverse outcomes:

- Patient Safety Expert Dr. Charles Denham on Patient Safety: Learn Global, Act Local, Be Vocal

- A Measure of Safety: Preventing Infection During Medication Administration

- Study: Team Training Interventions Can Enhance OR Team Cohesion

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