Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study

The evaluation index system constructed in this study demonstrates scientific validity and practical relevance. It provides a valuable reference for the quality assessment, model optimization, and regulatory oversight of HCAI systems.

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Publication Details

Journal
Journal of Medical Internet Research
Published
2026-01-19
DOI
https://doi.org/10.2196/83188
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.00
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article

Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study

Weizhen Liao, Haopeng Liu, Yi Wang, Huichao Wang et al.
Journal of Medical Internet Research
Artificial Intelligence in Healthcare and Education
article

Developing a Quality Evaluation Index System for Health Conversational Artificial Intelligence: Mixed Methods Study

Weizhen Liao, Haopeng Liu, Yi Wang, Huichao Wang, Meng Li, Youli Han, Chengyu Ma, Dan Wang, Zijie Feng, Yiru Guan
article en

Abstract

The evaluation index system constructed in this study demonstrates scientific validity and practical relevance. It provides a valuable reference for the quality assessment, model optimization, and regulatory oversight of HCAI systems.

Journal of Medical Internet ResearchVol. 28
Capital Medical University (CN), Tianjin haihe hospital (CN)
Openalex Percentile: Top 85%
Artificial Intelligence in Healthcare and Education
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