A multi-award-winning Registered Learning Disability Nurse & Practice Educator who believes nurses should be building the technology they use — not just waiting for someone else to build it for them.
I'm NurseCitizenDeveloper pretty much everywhere on the internet.
I started my career on the ward, not in a lab. As a Learning Disability Nurse, I saw first-hand how the right technology can transform patient outcomes — and how the wrong technology gets ignored in a drawer. That gap between what clinicians need and what developers build became my obsession.
During COVID-19, I led the deployment of telehealth solutions that reached over 10,000 patients, using AI-powered predictive analytics to keep vulnerable people safe at home. That experience convinced me that nurses shouldn't just use technology — they should build it themselves.
So I coined the term Nurse Citizen Developer — the idea that frontline clinicians can create their own digital tools without a CS degree. I co-chaired the Chief Nursing Officer's Digital Strategy Working Group, serve on the BMJ Future Health Committee, and lead the European Hub for the Nursing Now Challenge. Now I spend my evenings fine-tuning LLMs and building open-source clinical AI that any nurse can fork.
★ Recognised as a Rising Leader in Keele University's "75 Faces of Keele" and featured in the Florence Nightingale Foundation's 90th anniversary celebrations.
Open-source clinical AI, built from the ward up.
Describe a patient presentation and instantly retrieve the most relevant historical cases from thousands of clinical vignettes — or search UK nursing legislation semantically. Powered by Perplexity embeddings with cosine similarity ranking.
Try it live →Practice clinical decision-making with AI-generated patient scenarios grounded in the Manchester Triage System. Get scored against validated clinical pathways and compete on the global leaderboard.
Try it live →The first open-source FHIR Implementation Guide designed by a frontline nurse. Defines standardised data structures for nursing assessments, care plans, and clinical observations — so nursing data finally speaks the same language across systems.
View the IG →A fine-tuned Gemma 2B model trained on the NurseReason dataset to generate structured clinical case studies with diagnostics, medication reasoning, and management plans. Open-weight and free to use.
View the model →A multimodal clinical translation system that handles speech, text, images, and video. Built to help healthcare workers communicate clearly with patients across language barriers — because every patient deserves to understand their care.
Coming soon →An equitable wound assessment tool built on MedGemma 1.5 and calibrated with the Monk Skin Tone scale. Ensures AI-assisted clinical triage works accurately across all skin tones — because clinical AI that only works for some patients isn't clinical AI.
View the project →A spinning 3D carousel that lets you explore UK nursing legislation in three dimensions. Uses client-side ML via Transformers.js for real-time semantic search entirely in the browser. Why? Because I could.
Explore →Technology should amplify the human connection in nursing, not replace it. Every tool I build starts with the patient experience and the clinician's workflow.
Clinical AI must work for everyone — across skin tones, languages, and settings. If it doesn't work for the most marginalised, it doesn't work.
All my tools, datasets, and models are open. Nursing innovation shouldn't be locked behind corporate paywalls. If I built it, you can fork it.
Nurses don't need CS degrees to build powerful tools. Low-code platforms, AI copilots, and open APIs are democratising who gets to innovate.
Every AI tool I ship includes guardrails. No hallucinated dosages, no unsupervised clinical decisions. Safety is a feature, not a constraint.
I'm a Practice Educator because I believe the best way to transform care is to empower the next generation of nurses with the right tools and confidence.