Problem
Within the CTICU (high volume, high pace, complex data streams), critical daily attending turnovers are variable in content/quality, rely on “by hand” summarization, and inconsistent semantic stratification.
Solution
Constructed an AI-powered assistant summarizing selected clinician CTICU notes within the EHR to facilitate concise but accurate/comprehensive turnover communication at shift turnover.
Impact
In addition to AI-driven summarization/semantic analysis, this system will provide the opportunity to explore feature extraction from clinical text within an ICU environment for utilization in existing ICU models.
