  A comprehensive qualitative evaluation framework for large language models
(LLM) in healthcare that expands beyond traditional accuracy and quantitative
metrics needed. We propose 5 key aspects for evaluation of LLMs: Safety,
Consensus, Objectivity, Reproducibility and Explainability (S.C.O.R.E.). We
suggest that S.C.O.R.E. may form the basis for an evaluation framework for
future LLM-based models that are safe, reliable, trustworthy, and ethical for
healthcare and clinical applications.
