Perioperative cardiorespiratory compromise is common and goes largely undetected. Predictive cardiorespiratory indices can help in early detection of harmful deviations and guide preemptive treatment.

Using continuous cardiorespiratory monitoring coupled with these tools, we now know which patients are likely to decompensate both within and outside the operating room.

There is a tremendous opportunity for artificial intelligence-based solutions to integrate these streams of continuous monitoring data with clinical records and design the next generation of quality and patient safety improvement measures.

The only way of preventing perioperative patient harm is continuous and better patient monitoring with an emphasis on early detection and prevention using effective therapeutic interventions.

Read More