Taipei Veterans General Hospital in Taiwan has moved past the stage of digitising medical records to harnessing actionable insights from live data at the point of care.
The 3,000-bed hospital has recently been validated for Stage 7 of the HIMSS Electronic Medical Record Adoption Model (EMRAM).
"Intelligentisation" represents the next maturity level: moving from reactive data collection to proactive, data-aware clinical intervention.
In practice, it means converting raw information from our HIS and data lakes into real-time, actionable insights at the point of care.
Instead of forcing a clinician to open multiple windows to review data, a truly "intelligentised" hospital acts as a "Digital Guarding Network," running validated algorithms silently in the background to serve as an invisible teammate to our front-line medical staff.
While we have deployed more than 48 validated AI models, two specific categories have delivered the most profound impacts.
In the ICU, our AI Hemodynamic Pre-warning System analyses continuous big data to predict blood pressure instability seven hours in advance.
Coupled with our early-warning alerts for ARDS and sepsis, this system shifts our intensive care teams from crisis management to proactive, preventative intervention – effectively saving lives before complications occur.
Our AI-generated nursing progress note system can summarise an eight-hour shift's worth of clinical data into an accurate summary in just three seconds.
By automating these administrative tasks, we return valuable time-to-care to our staff and restore the human touch to the bedside.
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