Purpose:
To provide a space for neutral implementation partners — companies that don’t just sell AI... View more
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Group Description
Purpose:
To provide a space for neutral implementation partners — companies that don’t just sell AI tools, but help hospitals evaluate, procure, deploy, validate, and sustain AI responsibly.
Description:
This group is for consultancies, service providers, and independent validation organizations that guide hospitals through the AI adoption journey.
Unlike product vendors, these companies focus on process expertise: strategy, workflow adaptation, evidence-building, and change management.
Examples: Romion Health, Deloitte Health AI practices, Accenture Health, MedPerf collaborations, CRO validation partners.
Intended Use:
Share lessons learned from supporting hospitals with AI adoption.Provide frameworks for procurement, governance, and evaluation.Discuss training and workforce readiness programs.Collaborate with vendors and hospitals to ensure evidence-based implementation.
Limitations:
Strict no product promotion (they must avoid acting as resellers).Cannot endorse or “push” specific vendor products.Proprietary client details must remain confidential — only generalized lessons allowed.Focus must remain on responsible process support, not consulting sales pitches.
Key Activities:
Posting neutral case lessons (e.g., “Challenges we saw when a mid-sized hospital adopted 3 AI tools at once”).Sharing procurement templates and checklists.Hosting Q&A with clinicians about implementation hurdles.Bringing in multidisciplinary best practices (governance, change management, IT readiness).
Potential Users:
Implementation consultancies (Romion Health, Accenture, Deloitte, PwC Health AI teams).Independent validation networks (Health AI Register, MedPerf/MLCommons).Hospital project managers working with external implementation partners.Researchers interested in studying adoption pathways.Clinicians who want to learn how hospitals structure implementation programs.
Possible Discussions:
“What governance model works best for AI steering committees in hospitals?”.“How do you evaluate multiple vendors fairly in procurement?”.“Lessons learned from training radiologists and nurses to trust AI outputs.”.“How can independent registries like Health AI Register support transparency?”.“What role should consultancies play in post-market surveillance?”
Other Important Notes:
This group is crucial for bridging the gap between theory and practice — making AI adoption safe, responsible, and efficient.It connects strongly to Pillar 2 (AI Adoption Journey) since these partners often help hospitals through those exact steps.It also links to Pillar 3 (Foundational Principles) (ethics, data governance, regulation).Many hospitals may rely on these partners — so having them here adds real-world expertise for clinicians and administrators in AIiHC.
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