Start with the problem, not the technology. Define the clinical or operational issue before selecting an AI solution. Specificity can help narrow down the AI solution that is the right fit for your problem. 

Evaluate industry partners rigorously. Look for evidence of validated, real-world success, not just promising demos. Key questions include: Has the tool been validated with clinicians in similar environments? What short-term ROI has been demonstrated? What is the plan for clinical validation and post-deployment monitoring? 

Build trust through partnership. Treat industry companies as collaborators and prioritize transparency. The most effective vendor relationships resemble strategic alliances, not simple transactions. Open communication, shared accountability, and mutual willingness to learn are essential. 

Focus on readiness and ROI. Solid data foundations and measurable value are prerequisites for sustainable adoption. Lack of data hygiene and IT infrastructure can lead to slow and cumbersome implementation.  

Remember the human ROI. Reducing burnout and improving clinician experience can be as valuable as financial returns.