Level 5: Prescriptive Optimization
We help you with the “Plan” in “Plan-Do-Study-Act.”
Hope is not a strategy, and improvement rarely happens by accident. Asking the question “how will we know?” is the difference between (a) being able to demonstrate improvement and (b) optimizing and hoping something worked. Hoping often results not only in suboptimal solutions but in wasted resources.
Prescriptive optimization (effective planning) requires deep knowledge of healthcare and available tools and techniques for answering questions.
Healthcare.AI Expert Services bring together years of experience, rigorous methods, and advanced augmented intelligence (AI) to ensure that you position your improvement efforts for success.
1. Problem Refinement
Healthcare leaders are encouraged to provide solutions. We spend too little time ensuring that we have identified the correct problem (diagnosis) or identifying how we will know if the problem is solved (outcome).
Jumping to a solution is fun and rewarding but often results in suboptimal or unknowable results.
We apply well established techniques—from asking answerable questions to root causes analysis—to ensure broad agreement that the correct problem was identified and how we will know if it is resolved. We supplement whiteboard fishbone diagrams and passionate discussion with AI tools to support or redirect your best thinking.
Healthcare leaders manage a portfolio of innovations that achieve high rates of problem resolution rather than changes attempted.
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2. Learning Design
Sustained system change requires moving beyond “n of 1” anecdotes to a learning design. Once an organization has decided on a change to deploy, we will make the most of the expense through careful selection of how to roll out, scale, and spread the change.
Change that is rolled out based on enthusiasm or lack of clear learning objectives routinely results in unknown impact that does not spread or scale.
We establish clear learning objectives, including purposeful decisions about how to select units and types of change, evaluate results, and progress to subsequent steps. Beyond textbooks and theory, AI helps us maximize the utility of data you already have to drive key decisions.
Healthcare leaders manage a portfolio of innovations that achieves high rates of problem resolution rather than changes attempted. Over time, innovations that are spread broadly and mutually reinforce each other to drive greater system performance.