HNG-AI
Healthcare Next Gen
AI-Powered
INTRAPRENEURSHIP
From healthcare challenges to pilot-ready solutions
Transform a real healthcare challenge into an AI-enabled solution ready to pitch, pilot, measure, and scale.
HNG-AI.COM
About the Program
Move Beyond AI Awareness
Most healthcare teams have heard enough about artificial intelligence. What they lack is a disciplined path from a genuine problem to something that can be tested inside a real organisation, with real constraints, governance and budgets.
"This is not only an AI course. It is an implementation-focused intrapreneurship experience for healthcare professionals."
You work on your own challenge throughout. You leave with a defined solution, a costed case, a pilot plan and a pitch — the assets that turn intent into action inside your institution.
The Learning Journey
From Challenge to Pilot-Ready Solution
- 01
Identify
Select and frame a real, high-impact challenge from your own clinical or operational reality.
- 02
Design
Shape an AI-enabled solution concept around the workflow, the users, and the decision it improves.
- 03
Build the case
Quantify value, cost, risk, and feasibility so the idea survives scrutiny beyond enthusiasm.
- 04
Gain support
Map stakeholders, governance, and sponsorship needed to move from concept to authorised pilot.
- 05
Pilot
Define scope, safeguards, timeline, and the smallest credible test of the solution.
- 06
Measure and pitch
Set the metrics that prove impact and deliver an executive pitch ready for decision-makers.
Workshop Experience
Practical. Collaborative. Implementation-Focused.
- 4 hours
- Focused, intensive working session
- 30 / 70
- Guidance versus practical application
- Individual + team
- Personal challenge work and collaborative problem-solving
- No coding
- No technical background or programming required
The official date, venue, and registration details will be announced soon.
What Participants Will Produce
Leave With More Than Knowledge
AI Innovation Canvas
One page that holds the challenge, the users, the data reality, the solution concept and the value it creates.
- A clearly framed healthcare challenge statement
- A completed AI Innovation Canvas
- A defined AI-enabled solution concept
- A value and impact case with cost considerations
- A stakeholder and governance map
- A structured pilot plan with scope and safeguards
- A measurement framework with success metrics
- An executive pitch ready to present
Who Should Attend
Designed for Healthcare Change-Makers
- Physicians and consultants
- Nurses and allied health professionals
- Healthcare managers and administrators
- Quality, safety and transformation leads
- Digital health and informatics teams
- Policy makers and strategy leaders
- Healthcare entrepreneurs and innovators
- Academics and postgraduate trainees
No technical or programming background is required.
The work is about judgement, framing and implementation. Curiosity and a real challenge matter far more than technical skill.
MD, EMBA — DBA candidate, UCL
Saudi Board of Internal Medicine
Lean Six Sigma Master Black Belt
PMI Certified Professional in Managing AI
ACHE Member — American College of Healthcare Executives
Your Facilitator
Dr. Abdulrhman Almohammedi
MD, EMBA | Internal Medicine Consultant | Healthcare Innovation and AI Strategist
Dr. Almohammedi is a physician-executive working at the intersection of clinical practice, healthcare strategy and applied AI. He is an Internal Medicine Consultant and Academic and Public Affairs Manager at Dr. Sulaiman Al Habib Medical Group, holds an Executive MBA in Healthcare from Prince Mohammed Bin Salman College, and is completing a Doctorate in Business Administration in Digital Transformation and AI in Healthcare at University College London.
He led the Saudi Arabia hub of the Global Healthcare AI Hackathon 2026, a Harvard Health Systems Innovation Lab initiative that drew more than 2,040 applications and ranked first globally across 41 countries, coordinating eleven national partners including MOH, SDAIA, RDIA and HUMAIN. He also built a Kingdom-wide AI-enabled digital health research programme that equipped over 200 healthcare professionals with proposal development and AI-driven research methods.
His work spans AI governance, research and IRB oversight, digital maturity and value-based transformation, alongside international roles as Founding Chairman of the MBSC Alumni Association, Healthcare Club President, and Saudi national representative at forums such as the Technology Forum Life Sciences in Milan.
HNG-AI reflects that practice: a compact, demanding session where participants build their own implementation-ready work rather than watch a presentation about the future.
Register Your Interest
Be First to Know
Registration of interest is not a booking. It places you on the priority list for the official announcement of date, venue and enrolment.
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