Smart, Real-Time PCI Risk Estimator— Powered by Hospital Data
Smart, Real-Time PCI Risk Estimator— Powered by Hospital Data
Source: JACC:
Highlighted in Media: July 7, 2025
Key Summary Points:
1. Purpose of the Study:
Mayo Clinic researchers developed a smart, real-time tool that predicts PCI-related risks using hospital Electronic Health Record (EHR) data.
2. Why This Matters:
PCI helps treat heart attacks and chest pain, but carries risks such as:
• Bleeding
• Acute kidney injury (AKI)
• Stroke
• Death
Real-time risk assessment supports safer, faster clinical decisions.
3. How the Tool Works:
• It analyzes data from the EHR (e.g., age, labs, vitals, cardiac history).
• It uses machine learning trained on 9,000 PCI cases (2016–2024).
• It generates instant risk scores with no manual data entry.
4. Test Results:
• 70% of the PCI cases were used to train the model, 30% to validate.
• Accurately predicted:
• In-hospital mortality
• Major bleeding
• AKI
• Stroke
5. Real-Time Use Example:
• A 73-year-old woman with STEMI is in the cath lab.
• The tool flags high bleeding risk from her EHR.
• The team chooses radial access and avoids certain drugs—on the spot.
6. Can It Be Used Outside Mayo Clinic?
• Yes. It works with major EHR systems like Epic, Cerner, etc.
• Hospitals in Jordan, the Middle East, or globally can use it—if structured EHR data is available.
7. Impact on Clinical Practice:
• Promotes shared decision-making.
• Reduces time delays.
• Supports evidence-based, individualized treatment.
8. Key Quote from the Authors:
“These models may be translated to patient care as an automated and individualized real-time risk calculator, obviating the need for manual data entry.”
https://www.jacc.org/doi/10.
