πŸ₯ Nursing Copilot
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Support the Future of Clinical AI

Fund the nursing team. Enable innovation. Transform care.

Every contribution directly supports the dedicated nurses developing Nursing Copilot and the advanced hardware infrastructure that powers specialized AI models for every clinical discipline. Your support accelerates the development of evidence-based, institution-controlled clinical decision support.

Our Mission

To develop and deploy institutional AI that enhances clinical decision-making while maintaining complete data sovereignty, transparency, and alignment with nursing values. We believe healthcare AI should be built by healthcare professionals, not sold to them.

πŸ‘©β€βš•οΈ Meet the Team

Nursing Copilot is developed by clinical experts, nursing leaders, and software engineers committed to creating AI that serves institutional needs. Our interdisciplinary team brings clinical rigor, technical depth, and healthcare system understanding to every design decision.

Core Development Team

Our team is led by nursing administrators and clinical informaticists with deep expertise in oncology care, nursing education, and institutional AI governance. Every team member brings firsthand experience with the clinical workflows Nursing Copilot serves.

πŸ‘¨β€βš•οΈ
Khalil A. Younes
Nursing Supervisor & Lead Developer
MSN in Nursing Administration & Management from AUB. Leads SQCCCRC nursing leadership, oversees AI project development and institutional governance.
πŸ’‘
Clinical Informatics Team
Architecture & Integration
Experienced IT and clinical systems specialists integrating Nursing Copilot into institutional infrastructure with security and compliance.
πŸ”¬
Research & Evidence Team
Clinical Validation & Knowledge Curation
Oncology nurses and clinical educators responsible for curating institutional protocols, validating recommendations, and maintaining evidence quality.

πŸ’° How Your Donation is Used

100% of donations support direct development costs. We are transparent about allocation and measure impact against specific, measurable outcomes. Here's how your contribution directly advances the mission:

πŸ–₯️
Hardware & Infrastructure
GPU acceleration (NVIDIA), server infrastructure, storage, networking, and disaster recovery systems that power local AI deployment and model training pipelines.
35% of donations
🧠
Model Development & Fine-Tuning
Specialized model training for oncology, pharmacology, radiology, and other specialties. Synthetic dataset generation, LoRA fine-tuning, quantization optimization, and continuous evaluation.
30% of donations
πŸ‘©β€πŸ’»
Nursing Team Development
Compensation, training, and professional development for the nursing and informatics team members building and maintaining Nursing Copilot. Supporting their time and expertise.
25% of donations
πŸ“š
Knowledge Base Curation
Clinical validation, protocol integration, literature review, and institutional knowledge management. Ensuring evidence quality and currency across all specialties.
10% of donations

πŸ—ΊοΈ What Your Support Enables

Donations directly fund our development roadmap. Here's what we're building next:

Q4 2026
Synthetic Oncology Datasets
Generate 1,000–10,000 specialized QA pairs from reference books and institutional SOPs. Fine-tune Qwen via LoRA for improved domain accuracy.
Q1 2027
Multi-Specialty Expansion
Extend Nursing Copilot to pharmacology, radiology, lab sciences, and administration. Deploy specialty-specific fine-tuned models.
Q2 2027
Advanced Hardware Integration
Deploy to DGX Spark or Hopper GPUs for accelerated model training and inference. Support larger, more capable models.
Q3 2027
Multilingual Support
Evaluate and implement Arabic language support. Enable UI and clinical decision support in multiple languages.
Q4 2027
Self-Hosted CI/CD
Complete migration to self-hosted infrastructure. Zero dependency on cloud CI platforms. Fully institutional control.
2028+
Kubernetes Scaling
Multi-node distributed architecture for health systems. Enable deployment across multiple institutions with centralized governance.

🎁 Support Levels

Choose a level of support that aligns with your commitment to advancing institutional AI. Every contribution, regardless of amount, makes a measurable difference.

Most Impactful
Champion
Strategic partnership supporting major development initiatives
Quarterly impact reports & custom analytics
Named feature sponsorship
Advisory board membership
Early access to new specialties
Custom model training consultation
Institutional recognition
Sustainer
Ongoing support for continuous development
Monthly development updates
Priority feature requests
Dedicated technical support
Pre-release access to updates
Public recognition on website
Contributor
Support a specific development initiative
Quarterly impact reports
Direct allocation to your priority
Acknowledgment in release notes
Email support access
Friend
One-time support for the mission
Tax-deductible contribution
Impact summary
Digital certificate

πŸ“Š Measuring Our Impact

850+
Daily clinical queries supported
98%
Citation accuracy rate
42
Institutional protocols integrated
2.1s
Average query-to-answer time
650K
Minutes saved annually per hospital
0
External API calls (100% local)

πŸ” Financial Transparency

We are committed to complete transparency around funding and allocation. Every donation is tracked, categorized, and reported against development goals.

Annual Impact Reports: Published publicly each calendar year, including total funds received, allocation breakdown, development milestones achieved, and roadmap adjustments.

Questions? Contact us directly at donate@localcdss.com for detailed financial information or partnership discussions.

Ready to Support This Mission?

Whether you're an institution, foundation, or individual committed to advancing healthcare AI, we welcome your partnership in building clinical technology that puts clinicians first.

πŸ’š Donate Now Discuss Partnership

Nursing Copilot Β© 2026 β€” Built by nurses, for nurses. Supporting the development of institutional AI that clinicians can trust.

Developed at Sultan Qaboos Comprehensive Cancer Care and Research Centre (SQCCCRC), Muscat, Oman.
donate@localcdss.com