QingSong Health embeds AI medical agent into physician platform, user base grows 46%
QingSong Health Corporation has integrated its AI evidence-based medical agent, QSevidence, into QSmedical, its platform for physicians and medical professionals. The company reported 69,615 medical professional users as of March 31, 2026, up 46.4% from 47,554 a year earlier.
The integration connects QingSong Health's medical AI capabilities directly to its physician network. QSevidence provides doctors with interpretable, verifiable decision support grounded in evidence-based medicine rather than simple question-answering.
User growth concentrated among senior physicians
Senior physicians-those at associate chief level or above-now represent 52.7% of the platform's user base. That cohort grew to 36,678 users, up 42.7% year-over-year.
Ophthalmology saw the steepest growth, with users jumping to 3,672 from 1,355-a 171% increase. The concentration of senior physicians suggests the platform is gaining traction among clinicians with established practices and influence.
Three-tier AI strategy outlined
QingSong Health described its approach in three layers:
- Infrastructure: i-DataCloud, providing AI infrastructure across business scenarios
- Core model: Dr.GPT, a medical-focused large language model supporting the healthcare services ecosystem
- Applications: QSevidence and similar evidence-based medical agents for specialized clinical scenarios
The company plans to deepen focus on evidence-based medicine, clinical decision-making, and physician services. Leadership said the roadmap positions the company for sustained growth in AI for healthcare and digital health services.
What this means for healthcare professionals
For physicians, the integration signals availability of AI-assisted decision support built on medical evidence rather than general-purpose models. The platform's growth among senior physicians suggests peer adoption is occurring.
The data reflects a shift toward AI tools designed for clinical decision-making rather than administrative tasks. Whether this translates to measurable improvements in clinical outcomes or efficiency remains to be demonstrated.
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