Cliniclaw：一种基于人工智能的医院信息系统（HIS）尝试，结合政策导向的临床代理。
它的功能：通过信任治理层（VERITAS）运行AI代理（分诊、订单、实验室审核、药房、文档）以支持临床接触。每个代理的操作都受到政策的限制（OPA Rego），并以FHIR R4格式持久化，同时经过加密审计。
关键设计决策：
- 默认拒绝 — 代理在没有政策批准的情况下无法行动
- 人工干预的门槛由政策强制执行，而非用户界面约定
- FHIR R4作为原生数据模型（无专有架构）
- 加密审计链（SHA-256，追加只读）
- 可插拔的LLM后端（Claude API / Ollama / mock）
技术栈：Rust, axum 0.7, tokio, regorus (Rego), sqlx, reqwest, Next.js 15
并非试图取代Epic — 而是利用AI解决Epic在架构上无法解决的问题。
演示链接：https://screen.studio/share/VjDVsjUG
VERITAS GitHub仓库：https://github.com/Chesterguan/veritas
查看原文
What it does: Runs AI agents (triage, orders, lab review, pharmacy, documentation) through a trust governance layer (VERITAS) for
clinical encounters. Every agent action is policy-gated (OPA Rego), FHIR R4-persisted, and cryptographically audited.<p><pre><code> Key design decisions:
- Deny by default — agents cannot act without policy approval
- Human-in-the-loop gates enforced by policy, not UI convention
- FHIR R4 as the native data model (no proprietary schemas)
- Cryptographic audit chain (SHA-256, append-only)
- Pluggable LLM backend (Claude API / Ollama / mock)
Stack: Rust, axum 0.7, tokio, regorus (Rego), sqlx, reqwest, Next.js 15
Not trying to replace Epic — solving problems Epic architecturally can't solve with AI.
</code></pre>
Demo:https://screen.studio/share/VjDVsjUG<p>VERITAS github repo:https://github.com/Chesterguan/veritas