CRE
The Consultation Reasoning Engine. A 5-layer AI framework that structures every 1doc patient consultation — from first contact through diagnosis, treatment planning, and follow-up.
Mission Zero is achieved not through episodic treatment,
but through continuous visibility, continuous intervention, and continuous accountability.
ARCHITECTURE
5-Layer Framework
INTEGRATION
Evidence Graph + DEC
AUTHOR
Dr Eugene Loke, CMO, 1docAI
What is the Consultation Reasoning Engine?
The Consultation Reasoning Engine (CRE) is 1docAI's AI framework for structuring clinical consultations. Every time a 1doc patient interacts with a family physician, health coach, or the AVA virtual assistant, the CRE operates in the background — synthesising the patient's Evidence Graph data, the presenting complaint, and clinical guidelines to support structured, consistent, high-quality care.
The CRE is not a diagnostic tool that replaces the physician. It is a reasoning scaffold that ensures every consultation follows a rigorous clinical pathway — reducing variation, surfacing relevant history, and flagging considerations the clinician needs to address.
The 5-Layer Architecture
One of the fundamental challenges in community healthcare is variation — the quality and thoroughness of a consultation should not depend on which physician a patient sees, how busy the clinic is, or how recently the doctor reviewed the relevant guidelines. The CRE addresses this by providing a consistent reasoning scaffold across all 1doc clinicians.
This is particularly important for 1docAI's ambition to operate across 50 AI clinics and manage 300,000 patients under continuous care. At that scale, clinical consistency is not just a quality metric — it is a patient safety imperative.
CRE and clinical consistency at scale
The CRE operates across five sequential layers, each building on the outputs of the previous:
Frequently Asked Questions
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CRE stands for Consultation Reasoning Engine — the AI framework that structures every clinical consultation within the 1docAI system. It operates across 5 sequential layers from context ingestion through to follow-up protocol generation.
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No. The CRE is a reasoning scaffold, not a diagnostic system. It surfaces relevant information, generates differential considerations, and flags potential issues — but all clinical decisions and diagnoses are made by qualified 1doc physicians. The CRE supports the doctor; it does not replace them.
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The CRE draws from the Evidence Graph at Layer 1 (Context Ingestion) and at Layer 3 (Differential Generation), where the patient's individual risk profile — built from their complete health history — is used to weight differential diagnoses more accurately than population-level statistics alone.