The model combines four measurements to support real-time decision-making: stroke severity, frailty risk score, timing of intervention and thrombolysis utilization, according to a Jan. 28 news release from Ochsner.
When integrated into an EMR, the model can proactively identify which stroke patients would “benefit from immediate surgery and who may need ‘pre-habilitating’ before surgery to achieve better outcomes,” Hernan Bazan, MD, a senior author of the study and the John Ochsner Professor of Cardiovascular Innovation at Ochsner Health, said in the release.
Read the full study here.
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