DIME PROJECT
Implementing AI in Healthcare
Identify the problem & assess your readiness
For healthcare leaders facing rising hype and pressure to “have an AI strategy,” the most strategic move is to pause and ask:
What problem are we trying to solve?
Too often, systems jump to tools without understanding their priorities, workflows, or readiness. The result is often wasted time, sunk costs, lost trust, or worse, patient risk.
That’s why we encourage you to complete the foundational work of The Playbook to equip you with the tools to ground your strategy in the real needs, pain points, and capabilities of your organization.
PRO TIP
Your “AI strategy” is not a shiny new technology.
Get specific and focus on concrete clinical challenges, like rising sepsis mortality rates (view real world example), cancer diagnosis delays (view real world example), medication errors, or increasing hospital readmission rates for heart failure patients, and you will uncover clear, measurable, directions for improvement initiatives.
Strategic leaders
Translate your AI ambitions into a concrete, enterprise-wide strategy.
This section provides the tools to gain a clear, holistic view of your organization’s AI capabilities, prioritize high-impact initiatives that align with strategic goals, and build a sustainable roadmap for responsible implementation.
Clinical leaders
Ground your AI strategy in the real needs of your care teams and patients.
Use the Problems that Matter Exercise to pinpoint critical workflow and operational pain points where AI can deliver meaningful improvements in care quality, safety, and efficiency.
Technical leaders
Establish the foundation for safe, scalable, and secure AI integration.
This section helps you assess whether your current data infrastructure, governance, and technical architecture can support your organization’s AI goals, ensuring that new tools are both effective and secure.
