Background and Purpose: The study evaluated human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) as a non-animal new approach methodology (NAM) for assessing cardiovascular repolarization risk in drug development. The research compared hiPSC-CM data with traditional methods (hERG assays and animal studies), to determine if hiPSC-CMs could potentially replace or reduce animal testing in regulatory decision-making, aligning with FDA Modernization Act 2.0 goals. Experimental Approach: The study analyzed 29 Investigational New Drug (IND) applications submitted to FDA/CDER between 2020 and 2023, comparing hiPSC-CM studies using multielectrode array (MEA) and voltage sensing optical (VSO) platforms with hERG assays, multi-channel assessments, and in vivo non-rodent QT studies. The analysis focused on concordance between these methods and their ability to predict clinical QT prolongation risk. Key Results: hiPSC-CM studies demonstrated higher overall accuracy in predicting clinical QT prolongation risk compared to standard hERG and in vivo non-rodent QT studies alone. Notably, to achieve comparable accuracy to hiPSC-CMs, additional animal studies beyond the standard in vivo QT assessment were needed. These additional studies included testing at higher exposures, using different animal species, or conducting repeated dose studies. The standard in vivo QT study had lower sensitivity, likely due to limitations in achieving high drug exposures in animals. hiPSC-CMs could evaluate effects at much higher exposure multiples relative to clinical concentrations. Conclusion and Implications: hiPSC-CMs offer a promising alternative to extensive animal testing for cardiovascular risk assessment. However, limitations include small sample size, early-phase INDs, variability in hiPSC-CM study rigor, and challenges in establishing exposure-response relationships. Despite these limitations, this research provides evidence supporting hiPSC-CMs as potential alternatives to animal studies in regulatory assessments. Further research is needed to establish robust protocols for integrating hiPSC-CM data into regulatory workflows, balancing the promise of reduced animal testing with the need for comprehensive safety assessment.