Digital Doctor
Turn a physician’s expertise and clinical experience into a digital asset they own 100%, with an AI Digital Doctor handling health consultation and medical education 24/7.
About this page
No real patient data, medical records, or live system UI is shown on this page. The service is positioned as health consultation and medical education: it does not make diagnoses, does not issue prescriptions, and does not replace care at a licensed medical institution. The ¥99 / ¥288 / ¥988 figures shown are suggested retail prices that each physician may freely adjust — they are not YGG’s fees.
In short
Digital Doctor is a personal digital-asset solution for senior and specialist physicians: professional knowledge, de-identified clinical cases, and patient-education content are consolidated into a knowledge base the physician owns outright, and an AI Digital Doctor answers members’ health and education questions 24/7, escalating complex ones to the physician. The service stays strictly within health consultation and medical education — no diagnosis, no prescriptions, no substitute for care at a licensed institution — and runs only in the physician’s private or off-duty hours.
What the agent takes off people's plates
Core capabilities
Four asset libraries
A professional knowledge base (guidelines, experience, medication and follow-up protocols), a clinical case library (de-identified cases classified by specialty into an experience map), a patient-education library (Q&A, articles, and lecture scripts that can be reused), and trust assets (membership and follow-up relationships held in the physician’s own name) — together they form the physician’s personal digital asset.
AI Digital Doctor assistant
Works off the physician’s own knowledge base, answering members’ health and education questions instantly around the clock with a consistent professional voice; it organizes consultation records, tracks follow-ups, and sends reminders; every exchange is de-identified and folded back in as new training material, so it grows more specialized over time; complex cases needing real dialogue are handed over to the physician.
Ownership and portability
All collected material, cases, knowledge bases, and training artifacts belong to the physician. Data lives in the physician’s dedicated local data center; the platform supplies tooling and operations only — it does not own, resell, or repurpose the data. Full export and migration are available at any time, so there is no vendor lock-in. Patient information is de-identified with isolated keys, sensitive data is processed locally by default, and external models are called only in the minimum scope strictly necessary.
Three compliance guardrails
(1) Content boundary — health consultation and education only; no diagnosis, no prescriptions, risky content auto-blocked. (2) Time boundary — delivered in private or off-duty hours, never during hospital shifts. (3) Data boundary — de-identified, fully logged, owned by the physician and kept locally controllable. The workflow is fixed at five auditable steps: intake, compliance pre-screening, scheduling confirmation, service delivery, and archival.
One-to-many outreach
Beyond one-to-one consultation, the physician can run in-person seminars and lectures, online health-education livestreams, and members-only sessions to scale their professional influence. Whether to charge or offer it pro bono is entirely the physician’s call. Lecture and livestream content is archived back into the library, compounding the personal education asset.
Side by side
Digital Doctor vs. practising on a third-party internet-healthcare platform vs. answering questions ad hoc over WeChat
| Dimension | Digital Doctor solution | Third-party internet-healthcare platform | Ad hoc WeChat answers |
|---|---|---|---|
| Ownership of data and reputation | Material, cases, knowledge base, and member relationships are 100% the physician’s, stored locally | Data and reputation accrue to the platform; leaving means losing them | Scattered across chat logs — unstructured, unsearchable, lost on a phone change |
| Pricing autonomy | The physician sets all membership and consultation fees, and decides whether to charge at all | Platform-set pricing and revenue-share rules leave limited room to negotiate | Usually free as a favour; professional value is hard to monetize with dignity |
| Suggested retail prices for members (physician-adjustable; not YGG fees) | ¥99/yr membership (unlimited AI Q&A) · ¥288 per online or phone one-to-one · ¥988 per in-person consultation — all suggested only; final pricing is the physician’s decision | Price tiers are set by the platform; the physician is paid a revenue share | No pricing structure at all — charging feels awkward, not charging burns unpaid time |
| Time cost | The AI handles repetitive, fragmentary questions 24/7; the physician takes only what needs real dialogue and confirms scheduling personally | Shifts and response-time SLAs are dictated by the platform | Constant interruptions that easily collide with hospital shifts and resist planning |
| Compliance audit trail | A fixed five-step flow — intake, compliance pre-screening, scheduling, delivery, archival — with out-of-scope content auto-blocked and every step auditable | Records exist but the platform owns them and the criteria; self-substantiation is hard | Virtually no audit trail, blurred boundaries, and the physician personally carries the overreach risk |
| Portability | Knowledge base and member data can be fully exported and migrated at any time — no lock-in | Account, ratings, and patient relationships are bound to the platform; leaving resets you to zero | Content is locked inside the messenger — no structured export, no reuse |
How the agent and human supervision collaborate
System architecture (conceptual)
source
Multi-source material (cases / follow-ups / education / literature)
agent
Governance layer (cleansing · de-identification · structured labeling)
agent
Local knowledge base / vector store (RAG)
agent
AI Digital Doctor (health consultation / education Q&A)
human
The physician (escalated consultation · high-risk confirmation)
output
Members and enquirers
Flow
- Multi-source material (cases / follow-ups / education / literature)→Governance layer (cleansing · de-identification · structured labeling)1 · Ingestion
- Governance layer (cleansing · de-identification · structured labeling)→Local knowledge base / vector store (RAG)2 · De-identified corpus
- Local knowledge base / vector store (RAG)→AI Digital Doctor (health consultation / education Q&A)3 · Retrieval augmentation (sensitive data processed locally; external models called only in minimum scope when needed)
- AI Digital Doctor (health consultation / education Q&A)→Members and enquirers4 · Health consultation / education Q&A
- AI Digital Doctor (health consultation / education Q&A)→The physician (escalated consultation · high-risk confirmation)Escalation / compliance block
- The physician (escalated consultation · high-risk confirmation)→Members and enquirersOnline / in-person deep consultation (private time)
- Members and enquirers→Governance layer (cleansing · de-identification · structured labeling)5 · De-identified feedback loop, assets compound automatically
Verifiable facts
Numbers and sources
China’s internet-healthcare market is forecast to exceed RMB 420 billion in 2025 (institutional estimates range RMB 419–494.3 billion).
The online consultation market reached RMB 69.54 billion in 2024, up 23.4% year on year.
Internet-healthcare users number 418 million, roughly 33.8% of all Chinese netizens.
China’s paid-knowledge market is forecast at RMB 280.8 billion in 2025, with mature consumer willingness to pay.
All collected material, cases, knowledge bases, and training artifacts are 100% owned by the physician; the platform neither owns, resells, nor repurposes them, and full export and migration are available at any time.
Under China’s Interim Measures for the Administration of Internet Diagnosis and Treatment, online disease consultation is not classed as internet diagnosis and treatment: offering general health advice without a definitive diagnosis or treatment plan remains compliant consultation and education.
Delivery and pricing
Pricing
Included
- · Build-out of the physician’s dedicated data center and self-hosted deployment of the Digital Doctor system
- · Structured build of the four libraries (knowledge, clinical cases, patient education, trust assets) plus governance and de-identification of the initial corpus
- · Construction, launch, and tone-of-voice tuning of the AI Digital Doctor assistant
- · The full membership / online / in-person service pipeline: intake, compliance pre-screening, scheduling, delivery, archival
- · Full data export and migration capability, available from day one, with no lock-in
Provided by the client
- · Medical licensing, multi-site practice filings, and approvals from the physician’s employing institution
- · Internet-hospital or medical-institution clinical licences (required separately if the scope extends to diagnosis and prescribing)
- · Payment-channel merchant qualifications, in-person consultation venues, and third-party livestream platform fees
Add-ons
- · Ongoing technical support and managed operations (annual renewal, quoted separately)
- · Corpus expansion, knowledge-base retraining, and extension to additional specialties
- · Custom member-facing mini-program or app front end, plus lecture and livestream module integration
Scan for the full solution document
Scan with WeChat to reach the solution lead and request the complete documentation and deployment checklist.
Where it fits
When this approach does not apply
- This solution is positioned as health consultation and medical education. It does not make diagnoses, does not issue prescriptions, and does not replace care at a licensed medical institution. Under China’s Interim Measures for the Administration of Internet Diagnosis and Treatment, online disease consultation falls outside internet diagnosis and treatment; the moment it involves a definitive diagnosis for a first-visit patient, a prescription, or a change to a treatment plan, it exceeds the scope of this solution.
- Service must be delivered in the physician’s private or off-duty hours, avoiding hospital shifts, and must never conflict with their primary employment. Scheduling is confirmed by the physician; the solution promises no fixed response-time SLA.
- Extending into actual diagnosis and prescribing requires operating separately through a licensed internet hospital or medical institution. This solution itself confers no clinical practice qualification and does not handle any licensing approvals on the physician’s behalf.
- Clinical material must be de-identified before entering the library. Raw medical records, imaging, and patient identity data never enter the knowledge base and are never used for training.
- The assistant’s professional quality depends entirely on the volume and quality of corpus the physician contributes. During cold start the physician must personally review the assistant’s answers; an empty knowledge base is not fit for public-facing service.
Further reading