Nursing meets AI 🩺

Hi, I'm Lincoln.

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.


BMJ Future Health Committee Nursing Now Challenge — European Hub Lead Sigma Theta Tau (Phi Mu Chapter) CNO Digital Strategy Working Group — Co-Chair NHS Digital Shared Decision-Making Council Foundation of Nursing Studies 75 Faces of Keele — Rising Leader Florence Nightingale Foundation Centre for Population Health — Digital Transformation CHIME International WHO Collaborator BMJ Future Health Committee Nursing Now Challenge — European Hub Lead Sigma Theta Tau (Phi Mu Chapter) CNO Digital Strategy Working Group — Co-Chair NHS Digital Shared Decision-Making Council Foundation of Nursing Studies 75 Faces of Keele — Rising Leader Florence Nightingale Foundation Centre for Population Health — Digital Transformation CHIME International WHO Collaborator

The story

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.

Lincoln Gombedza — Registered Learning Disability Nurse and Practice Educator
RNLD · Practice Educator · Citizen Developer

Things I've Shipped

Open-source clinical AI, built from the ward up.

Clinical Search
🔍
NurseLex-Match
Perplexity Embeddings · 7,500+ cases

NurseLex-Match

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  →
Simulation
🏥
NurseSim Triage
Manchester Triage System

NurseSim Triage

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  →
Interoperability
🏗️
Open Nursing Core IG
FHIR · HL7 · openEHR

Open Nursing Core Implementation Guide

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  →
Fine-tuned LLM
🧠
NurseGemma
Gemma 2B · LoRA · NurseReason Dataset

NurseGemma

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  →
Multimodal
🌍
SIMBOTI Live
TranslateGemma · Speech · Vision

SIMBOTI Live Translator

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  →
Health Equity
⚖️
EWAAST
MedGemma · Monk Skin Tone Scale

EWAAST — Equiwound Assessment

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  →
Experiment
🎮
3D Legislation Browser
Three.js · Transformers.js

NurseLex 3D Browser

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  →

What drives me

🏥

Person-Centred Care

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.

🌍

Health Equity

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.

📖

Open Source

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.

🧩

Citizen Development

Nurses don't need CS degrees to build powerful tools. Low-code platforms, AI copilots, and open APIs are democratising who gets to innovate.

🛡️

Clinical Safety

Every AI tool I ship includes guardrails. No hallucinated dosages, no unsupervised clinical decisions. Safety is a feature, not a constraint.

🎓

Practice Education

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.