PNA-Assistant / SYSTEM_CARD.md
Nursing Citizen Development
docs: Add System Card and link in README
cda84d7
---
title: "Building the PNA Assistant: A Nurse's Guide to AI Resilience Tools"
authors:
- user: NurseCitizenDeveloper
guest: true
tags:
- nlp
- healthcare
- gemma
- rag
- ethical-ai
- system-card
---
# Building the PNA Assistant: A Nurse's Guide to AI Resilience Tools
**"AI isn't here to replace nurses. It's here to be built by us."**
The resilience of the nursing workforce is a global priority. In the UK, the **Professional Nurse Advocate (PNA)** role has been a game-changer, using the **A-EQUIP model** to provide restorative clinical supervision. But with staffing pressures, accessing a trained PNA when you need one most can be a challenge.
What if we could build a tool to bridge that gap? Not to replace the human supervisor, but to provide a safe, 24/7 space for reflection?
Enter the **PNA Assistant**—an open-source AI research tool built by a nurse, for nurses.
## 🏥 What is the PNA Assistant?
The [PNA Assistant](https://huggingface.co/spaces/NurseCitizenDeveloper/PNA-Assistant) is a specialized AI agent designed to simulate the "Restorative Clinical Supervision" function of a Professional Nurse Advocate.
Unlike generic chatbots, it doesn't just "chat." It is grounded in the **A-EQUIP Model** (Advocating for Educating for Quality Improvement and Practice) and strictly adheres to the official NHS PNA Handbook.
### Key Capabilities
* **Restorative Dialogue**: Asking reflective questions to help nurses process emotional challenges.
* **Policy Grounding**: Retrieving exact guidance from the A-EQUIP framework (Normative, Formative, and Restorative).
* **Safety First**: Hard-coded safety rails to distinguish educational support from clinical/crisis intervention.
---
## ⚙️ Under the Hood: The "Nurse Citizen Developer" Stack
We built this tool using a **Retrieval-Augmented Generation (RAG)** architecture, hosted entirely on Hugging Face Spaces using ZeroGPU.
### 1. The Brain: Gemma 2 2B IT 🧠
We chose Google's **Gemma 2 2B IT** (Instruction Tuned) as our foundation. Why?
* **Efficient**: It runs fast on renewable cloud resources.
* **Capable**: It has excellent reasoning capabilities for its size.
* **Open**: It aligns with our philosophy of open healthcare research.
### 2. The Knowledge: RAG 📚
To prevent hallucinations (AI making things up), we don't rely solely on the model's training data. Instead, we use RAG:
1. **Knowledge Base**: We embedded the *PNA Handbook* and *A-EQUIP Guidance*.
2. **Retrieval**: When you ask a question, the system searches these documents for the answer.
3. **Generation**: The AI uses that official text to construct its response.
### 3. The Persona: "Compassionate Instruction Tuning" ❤️
The "secret sauce" is the System Prompt. We didn't just tell it to be helpful; we told it to be a **Nurse**.
* *Legacy Challenge*: AI can sound robotic or overly solution-focused.
* *Our Solution*: We instructed the model to prioritize **Validation** and **Reflection** over immediate problem-solving, mirroring the core skills of a PNA.
---
## 🚀 Why "Citizen Development" Matters
This project proves that you don't need a Computer Science degree to build impactful health AI. You need clinical expertise and curiosity.
By taking ownership of the technology, we ensured that **Nursing Values**—compassion, safety, and advocacy—were baked into the code from Day 1. This isn't just an AI tool; it's a statement that nurses are ready to lead in the digital era.
## 🎓 Research & Availability
The PNA Assistant is available today as a **Research Artifact**. We invite nursing researchers, educators, and digital health innovators to test it, break it, and build upon it.
* **Try the Model**: [Hugging Face Space](https://huggingface.co/spaces/NurseCitizenDeveloper/PNA-Assistant)
* **Read the Code**: [GitHub Repository](https://github.com/ClinyQAi/Professional-Nurse-Advocate-Assistant)
*Disclaimer: This tool is for educational and research simulation purposes only. It does not provide clinical diagnosis or crisis mental health support.*