Transforming Healthcare Through Analytics with HIMSS’s Enhanced Analytics Maturity Adoption Model

The Analytics Maturity Assessment Model represents a transformative milestone in healthcare, empowering health systems worldwide to achieve greater efficiency, equity, and innovation through advanced analytics. Developed by HIMSS, AMAM offers expert-guided frameworks and cutting-edge digital tools that support organizations at every stage of their digital health journey. 

The enhanced AMAM helps health systems maximize analytics capabilities with measurable ROI and a technical roadmap. It boosts team analytics literacy, ensures patient data transparency, and strengthens data governance for consistent information management across sites. At advanced stages, AMAM supports scalable, data-driven decisions and population health improvements through advanced analytics and AI.  

HIMSS Digital Health Strategist Rohini Omkar Prasad works with private and public healthcare providers across the Asia-Pac region to assess and advise on their digital transformation using HIMSS maturity models like AMAM. She shares her knowledge on the new model and explains why health systems should consider implementing this new framework.  

What is new and improved about AMAM? 

The modernized AMAM offers a fresh, comprehensive approach to analytics maturity and it focuses on critical areas of governance, infrastructure and strategy. The new AMAM is built to guide organizations through the entire analytics lifecycle. It helps them move from foundation analytics to more advanced applications like AI. HIMSS has moved towards an outcomes approach, so the new AMAM is more focused on outcomes; it shifts the goal from simply having certain types of data to understanding it and using it in ways that deliver measurable value in terms of clinical care and operational efficiency.  

How can health systems use the new AMAM? 

Currently, much of the data that is generated by health systems is not truly mobilized to inform decisions. Analytics in the healthcare sector are relatively underdeveloped compared to other business sectors. The purpose of the new AMAM is to support and guide organizations to realize the full potential of analytics to strengthen their data-driven decision-making at the patient and enterprise level. AMAM begins with foundational requirements of data, digital infrastructure and governance to support these health organizations to progress their digital health transformation and enable successful adoption of advanced analytics and AI to help achieve organizational priorities and outcomes.  

By adopting this framework, hospitals and health systems can ensure that their data infrastructure supports personalized, equitable care while at the same time improving performance and reducing risks. The new structure also gives leaders the insights they need to move their analytics strategy forward. It also provides a clear pathway or roadmap for organizations to measure and demonstrate ROI from their analytics investments.  

Why is it important to focus on analytic outcomes? 

AMAM places a strong emphasis on turning data into actionable insights that lead to impactful results. Health systems that prioritize outcomes can effectively optimize patient care, streamline operations and improve financial performance.  By doing this, health systems can ensure that they are not only investing in technology but also driving tangible improvements in clinical care and organizational efficiency. The new AMAM examines outcomes and impacts specific to the workforce such as the usability of analytics tools and rates of adoption.  

What feedback from HIMSS partners have you heard about AMAM? 

A lot of the feedback we receive is very encouraging. Analytics and IT leaders have told us that the new model has moved beyond assessing basic functionality and data sets to assessing outcomes and governance. The new structure also gave these leaders the insights they required to move their analytics strategy forward to demonstrate ROI from investments and assess the capability to deploy and adopt new solutions at scale.