Health Services Maturity Model
The Health Services Maturity Model is a framework under development by Sandeep and Lemai to assess and guide the adoption of artificial intelligence within health service organizations. The model applies established maturity model methodologies—standardized approaches for measuring organizational capability across defined stages—to the specific context of AI implementation in healthcare settings.
Purpose and Application
The model is designed to help health service organizations understand their current state of AI readiness and identify pathways for progressive improvement. By establishing defined maturity levels, the framework enables organizations to benchmark their AI capabilities, prioritize investments, and track advancement over time. This structured approach supports more effective and sustainable AI adoption rather than ad-hoc implementation.
Development Approach
The development of the model incorporates agentic AI for knowledge retrieval, allowing the framework to draw on relevant research, best practices, and domain expertise in both healthcare and AI maturity assessment. This methodological approach helps ensure the model remains grounded in practical experience and current understanding of both health service operations and AI technology implementation.