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ChinaHealthcare and life sciences2025 – ongoing

JD Health

AI Jingyi clinical consultation assistant

JD Health reported a 120% improvement in medical-record writing efficiency with its clinical AI assistant

WorkingCompany's own claimOfficial ↗

Problem

Doctors needed support with triage and the documentation surrounding online consultations.

Approach

JD Health built its clinical assistant on the Jingyi Qianxun medical model. It reported results for AI Diagnosis and Treatment Assistant 2.0, then connected additional models including DeepSeek.

Results

120%improvement in electronic medical-record writing efficiency reported by JD HealthCompany's own claim[1]
99.5%triage accuracy reported by JD HealthCompany's own claim[1]
90%first-contact resolution rate for AI questions reported by JD HealthCompany's own claim[1]

Takeaway

The reported gains covered clinical support tasks. JD Health did not disclose the evaluation sample or measurement method.

Categories

AI technology
Generative AI
Evidence
Company's own claim

Sources

Source summaries

[1]JD Health2025

JD Health described its medical-model product family and deployed clinical assistant. It reported improvements in documentation efficiency alongside triage accuracy and question-resolution figures.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026
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