Researchers Develop HCAI Quality Evaluation Index

Chinese researchers from Capital Medical University and Bytedance Xiaohe Health publish in J Med Internet Res (2026) a systematic quality evaluation index for health conversational AI, developed via literature review, two-round Delphi with 100% response, and analytic hierarchy process weighting. The framework defines 3 primary, 7 secondary, and 28 tertiary indicators, prioritizing ethics (0.4781), consultation capability (0.4112), and user experience (0.1107), supporting assessment and regulation.