An EHR Data Passport for Renal-Risk AI: Cross-Database Transportability of Creatinine-Based AKI Prediction in Intensive Care
This study introduces an EHR data passport framework to evaluate the cross-database transportability of creatinine-based AKI prediction models between MIMIC-IV and eICU, revealing that while discrimination remains stable, significant differences in data computability, laboratory coverage, and calibration shifts necessitate rigorous pre-deployment stress testing and algorithmic vigilance.