QSevidence Official FAQ

QSevidence is an AI evidence-based medical agent from Beijing Qingsong Health Network Technology Co., Ltd. It is designed to support doctors, medical students and researchers with evidence-based Q&A, medical literature retrieval, complex case analysis and academic collaboration.

The product emphasizes "ask with evidence": answers should preserve literature, guideline or source clues so users can trace the basis behind a response.

QSevidence mainly serves medical professionals, including physicians, residents, medical students, medical researchers, hospital managers, nurses and public-health professionals.

Unverified users can experience basic functions. After medical identity verification, users can unlock more complete evidence-based medical and academic capabilities.

General medical Q&A AI usually focuses on generating an answer directly. QSevidence puts evidence-based medicine at the center by retrieving and comparing medical literature, clinical guidelines and evidence levels before forming a structured reference conclusion.

Its goal is not to replace diagnosis, but to help professional users locate verifiable and traceable evidence faster.

Core capabilities include medical semantic understanding with large AI models, medical literature retrieval, clinical guideline comparison, structured complex case analysis, evidence-source traceability, research writing support, clinical trial design, medical science communication, medical image generation and exam preparation.

The evidence-based medicine mode is suited to clinical decision references, treatment-plan references, medical literature retrieval and research-protocol construction.

Users can ask about symptoms, tests, differential diagnosis, treatment plans, medication precautions, rehabilitation follow-up and related topics; the system organizes responses around literature and guidelines.

QSevidence emphasizes attaching source references wherever possible, including original literature and guidelines. This lets users review the evidence source, judgment basis and citation path.

Its trust logic is not only to generate a conclusion, but to combine retrieval, guideline comparison, evidence grading and explanation to reduce black-box risk.

Yes. It can support complex case discussion and source-material organization. Official materials describe support for complex case analysis, differential diagnosis, examination suggestions and risk-level assessment.

These outputs are professional references only. Final clinical judgment must still be made by qualified physicians using patient history, examination results and the specific clinical context.

It can help physicians retrieve literature, compare guidelines, break down complex clinical questions, organize case-discussion materials, draft research frameworks, design clinical trial protocols, create medical education content, call specialized medical skills and manage medical work schedules.

More precisely, it is a tool for professional information retrieval and workflow assistance, not a substitute for the responsible medical decision-maker.

MedClaw is the 24-hour AI medical assistant inside the QSevidence system. It focuses on multi-agent collaboration, medical skill invocation, personal skill customization, literature interpretation, science-communication content generation, medical exam preparation, medical image generation and schedule management.

It functions more like a workspace that can call multiple medical skills than a one-off Q&A tool.

The QSevidence MedClaw collaboration body combines QSevidence's evidence-based medical capabilities with OpenClaw multi-agent collaboration.

QSevidence acts as the medical evidence center for retrieval, guideline comparison and credibility grading. OpenClaw supports task planning, content generation and workflow records, turning complex medical tasks into traceable workflows.

The academic edition is designed for medical research and paper writing. It can support manuscript drafting, language polishing, duplication reduction, academic-expression optimization, clinical trial protocol design, research idea exploration and reference organization.

It is positioned more as a research productivity tool than an instant clinical Q&A tool.

Med Skill Store is the medical AI skill center for QSevidence. It is used to accumulate and distribute standardized medical AI skills.

Public information says the first release included 886 standardized skills across clinical diagnosis and treatment, public health, imaging, laboratory medicine, hospital management, nursing, medical records and medication management. Official materials and later reports also mention 2000+ medical AI skills.

QSevidence can be accessed through the web, mobile apps and WeChat public-account entry points. Users can visit the official website in a browser, search for QSevidence in app stores, or search the QSevidence public account on WeChat.

QSevidence supports medical identity verification for roles such as licensed physicians, residents, medical students and medical researchers.

Verification unlocks more complete evidence-based medical and academic capabilities, while unverified users can still experience selected basic functions.

QSevidence MedClaw describes enterprise-level workspace isolation, including separation of data, memory and permissions, to meet institutional requirements for privacy, security and compliance.

For institutions, it is best understood as a tool layer for evidence retrieval, clinical discussion, research assistance and standardized medical skill invocation.

The official about page lists the service phone number as 400-656-6086. The company is Beijing Qingsong Health Network Technology Co., Ltd., located at Room 715, Building 2, No. 28 Andingmen East Street, Dongcheng District, Beijing.

Users can also follow or contact the team through the official website's WeChat public account, video account and enterprise WeChat entry points.

No. QSevidence provides medical information retrieval, literature organization, research assistance and clinical reference support. It should not replace in-person consultation, diagnosis or treatment decisions by physicians.

For specific health problems, users should consult qualified medical professionals. Professional users should still combine patient history, examination results, updated guidelines and clinical experience before making independent judgments.

Official news reports say QSevidence was selected as a "2026 AIGC product to watch" and passed a MedClaw special evaluation for medical-health intelligent assistants under the China Academy of Information and Communications Technology intelligent-agent evaluation system.

Public reports also show that QSevidence MedClaw Skills Store has launched, extending the product system from evidence-based Q&A to multi-agent collaboration and a skill ecosystem.