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. This structured approach enables health services to understand their current position regarding AI readiness and identify pathways for progressive capability development.
Purpose and Application
The model serves to evaluate how effectively health service organizations are integrating AI technologies into their operations, from initial awareness and pilot projects through to mature, enterprise-wide implementation. By establishing defined maturity stages, the framework helps healthcare organizations benchmark their AI adoption efforts, allocate resources strategically, and communicate progress to stakeholders. The model recognizes that AI implementation in health services involves distinct technical, organizational, and governance dimensions that mature at different rates.
Development Approach
The development of this maturity model incorporates agentic AI for knowledge retrieval, enabling the research process itself to leverage AI capabilities for gathering and synthesizing relevant information from health service literature, existing maturity frameworks, and organizational case studies. This approach allows the framework to remain grounded in practical healthcare contexts while maintaining awareness of evolving AI capabilities and their applications within the sector.