CPMAI - Readmissions Prediction Project
Project Project Purpose
“The Remarc Readmissions Project shows how healthcare leaders can reduce costly readmissions by starting small with an MVP and scaling responsibly. Using the platform-agnostic CPMAI methodology, we transform a pressing business challenge into a structured, measurable AI solution — ensuring governance, explainability, and alignment with both clinical and financial priorities.”
CPMAI Phase 1 - Business Understanding
In Phase 1 we lay the foundation for a successful AI initiative by defining the problem, setting measurable goals, identifying stakeholders, and aligning the project with organizational strategy before any data related work begins.
CPMAI Phase 2 - Data Understanding
In this phase, we perform initial data exploration, quality checks, and align data sources to the business goals established in Phase I.
CPMAI Phase 3 - Data Preparation
Here we use data cleaning, transformation, and feature engineering techniques to make the data ready for modeling
CPMAI Phase 4 - Model Development
CPMAI Phase 5 - Model Evaluation
CPMAI Phase 6 - Model Deployment
Scheduled to be released 9/16/2025