How to involve patients in healthcare and research
Involving patients in healthcare and research is no longer just about participation — it is about building systems that make meaningful involvement possible at scale.
Today, AI is beginning to reshape how patient involvement can be designed, accessed, and sustained.
“If involvement depends on effort alone, it will always be limited. If it is built into systems, it becomes scalable.”
Step 1: Define the purpose — and make it transparent
Before involving patients, organisations must clearly define:
- What decisions patients will influence
• At which stage they are involved
• What outcomes are expected
- What decisions patients will influence
AI can support this by:
• Mapping decision points across the patient journey
• Identifying where patient input creates the most value
• Making processes visible and understandable
Step 2: Create accessible entry points
(this is where AI changes everything)
One of the biggest barriers to patient involvement is access.
AI can help:
• Lower the barrier for first-time participants
• Translate complex research into understandable language
• Guide patients step-by-step into involvement opportunities
“The future of patient involvement starts with making it easy to enter — not hard to qualify.”
Step 3: Build structured collaboration
Good intentions are not enough — structure is what creates impact.
Patient involvement should be:
• Clearly defined
• Consistently applied
• Embedded in workflows
AI can support:
• Standardised collaboration models
• Documentation and traceability
• Scalable engagement across projects
Step 4: Provide support — for both patients and organisations
Support is often underestimated.
It includes:
• Training and onboarding
• Clear communication
• Fair compensation (FMV)
• Continuous feedback loops
AI can enhance this by:
• Delivering personalised learning support
• Providing real-time guidance
• Supporting organisations in applying best practices consistently
Step 5: Turn input into action (where most fail)
The biggest gap in patient involvement is not participation — it is implementation.
Too often, input is collected but not used.
AI can help:
• Track how patient input influences decisions
• Ensure accountability
• Identify gaps between input and action
“Patient involvement only matters if it changes something.”
From involvement to scalable impact
The future of patient involvement is not more meetings — it is better systems.
This is where PiCC United works differently:
- Lowering the barrier for participation
• Structuring collaboration across stakeholders
• Supporting fair and ethical engagement (including FMV)
• Exploring how AI can enable scalable, real-world involvement
- Lowering the barrier for participation
Learn more here, What is PiCC United
Patient involvement is evolving from isolated activities to integrated systems.
AI will not replace patient voices —
but it will determine how accessible, scalable, and effective those voices can be.
The organisations that succeed will be those who move from manual involvement
to designed, supported, and scalable collaboration.