The CPRI Score. Built for your ✦ patient.
Population-average tools miss the individual. CPRI synthesizes EHR, labs, and genomics into one patient-specific perioperative risk index.
CPRI keeps the familiar logic of perioperative risk stratification while adding the personalized signal legacy tools were never built to ingest.
Swipe horizontally to compare all scoring models.
| Feature | ASA-PS | ACS NSQIP | CPRI |
|---|---|---|---|
| Personalization | Population avg | Population avg | Individual |
| Genomic data | No | No | Yes |
| Drug interactions | No | No | Yes |
| Real-time vitals | No | No | Yes |
| EHR integration | Manual | Manual | Automated |
| Risk dimensions | 1 class | Multiple | 5 composite |
| Output format | Static class | Cohort estimate | Patient-specific composite |
Prior MI, ejection fraction, arrhythmia history, pulmonary hypertension, and hemodynamic reserve are combined into a surgical cardiac profile.
FEV1, OSA, smoking history, baseline oxygen need, and recent respiratory instability help estimate perioperative pulmonary stress.
eGFR, creatinine trend, dialysis status, nephrotoxic medications, and fluid sensitivity inform renal vulnerability.
Anticoagulants, platelet function, coagulopathy markers, procedure blood-loss profile, and transfusion history refine hemorrhage risk.
Drug sensitivities, prior adverse events, airway complexity, emergence concerns, and genomics inform the anesthetic strategy layer.
How a risk score turns into something clinicians can act on.
Structured chart pull
Medications, comorbidities, allergies, labs, vitals, and procedure context are normalized from the EHR.
Feature synthesis
The engine combines longitudinal clinical history with perioperative context and any available genomic signal.
Composite scoring
Five dimension-level outputs roll into one overall CPRI score with explicit severity ranges.
Clinician-facing recommendation
The anesthesiology team sees the score, key drivers, and recommended mitigations before induction.
ASA-PS is a broad subjective class. CPRI is a patient-specific composite score that quantifies multiple perioperative risks and explains the drivers behind them.
No. Genomics strengthens certain recommendations, especially drug-metabolism risk, but the score can still run from chart, lab, and physiologic data alone.
The model is evaluated against retrospective perioperative cohorts and continuously audited as new 30 and 90 day outcomes are linked back into the system.
Yes. Checksalus supports clinical judgment rather than replacing it. Recommendations are transparent and meant to inform, not lock, decisions.
The minimum dataset includes demographics, procedure context, medications, allergies, comorbidities, problem history, recent labs, and perioperative vitals.
Overall CPRI
High Risk
Sample output only. Not a real patient.
Built on retrospective validation.
The scoring layer is designed around real perioperative outcomes review, cohort-level auditability, and transparent score drivers that clinical teams can interrogate.
See clinical evidence