Real-Time Automated Sampling of Electronic Medical Records Predicts Hospital Mortality.

ABSTRACT:

Background

Real-time automated continuous sampling of electronic medical record data may expeditiously identify patients at risk for death and enable prompt life-saving interventions. We hypothesized that a real-time electronic medical record-based alert could identify hospitalized patients at risk for mortality.

Methods

An automated alert was developed and implemented to continuously sample electronic medical record data and trigger when at least 2 of 4 systemic inflammatory response syndrome criteria plus at least one of 14 acute organ dysfunction parameters was detected. The systemic inflammatory response syndrome and organ dysfunction alert was applied in real time to 312,214 patients in 24 hospitals and analyzed in 2 phases: training and validation datasets.

Results<

SUBMITTER: Khurana HS 

PROVIDER: S-EPMC4916370 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature