MedOrqis: An Open-Source Medical AI Skills Ecosystem for Clinical Agents

说明与用途

MedOrqis 是一个开源医疗 AI 技能生态系统，提供确定性、零令牌临床计算和安全防护，消除 LLM 在临床决策支持中的幻觉。

问题

Deploying large language models in healthcare risks hallucinations, calculation errors, lack of deterministic guardrails, and non-reproducible outputs.

结果

MedOrqis delivers deterministic, zero-token clinical calculations and safety guardrails, reducing hallucinations and ensuring reproducible, evidence-grounded outputs for clinical AI assistants.

工作流

• 1. Install MedOrqis via CLI: npx skills add seotarek/MedOrqis
• 2. Import desired calculator, e.g., calculate_egfr_ckd_epi
• 3. Call the function with patient parameters
• 4. Receive deterministic result and safety-validated output
• 5. Optionally integrate with EHR via FHIR/HL7 schemas

证据

Deploying Large Language Models in healthcare and clinical decision support comes with immense challenges: hallucinations, calculation errors, lack of deterministic guardrails, and non-reproducible outputs.

来源

MedOrqis is an open-source, evidence-grounded, cross-platform ecosystem of 24 specialized clinical AI skills, 12 deterministic zero-token clinical calculators & safety engines, and multi-platform adapters (Skills CLI, Claude Code, Gemini CLI, Model Context Protocol, and OpenAI).

来源

Built with an evidence-first, patient-safety-first architecture, MedOrqis eliminates medical hallucination risks in high-stakes clinical calculations by executing arithmetic, unit conversions, PHI scrubbing, negation parsing, and drug interaction screenings through a local, deterministic Python core with zero LLM API token overhead.

来源