The integration of artificial intelligence in clinical environments transcends simple data analysis, encompassing a complex interplay of multidimensional data, technological frameworks, procedural nuances, and interdisciplinary collaboration. The Clinical AI Readiness Evaluator (CARE) framework provides a rigorous methodology for navigating and optimizing this intricate landscape, enhancing the efficacy, responsibility, and sustainability of healthcare innovations through systematic evaluation of technological readiness levels (TRL).