Health Services Maturity Model
The Health Services Maturity Model is a framework currently 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.
A primary focus of this initiative is the integration of agentic AI for knowledge retrieval. By leveraging autonomous agents, the framework aims to enhance the efficiency and accuracy of information access for healthcare providers. This approach seeks to address the complexities of managing vast medical datasets and ensuring that critical knowledge is readily available for clinical decision-making processes.
The development of this model involves defining clear stages of maturity that reflect an organization’s readiness to deploy and scale AI technologies. These stages are designed to help health service providers evaluate their current capabilities and identify specific areas for improvement. The resulting structure provides a standardized pathway for integrating advanced AI tools while maintaining the rigorous standards required in healthcare environments.