ANALYTICS MATURITY ASSESSMENT MODEL (AMAM)

Build advanced analytics and transform care delivery—all while tracking outcomes.

Maturity Models
Turn data into actionable insights

The new AMAM gives you an evidence-based framework for improving your data governance, predictive analytics, and population-level health.

  • Develop data quality and governance

    AMAM helps you create data flows to every point of care and track your governance practices, laying the foundation for advanced analytics and AI adoption.

  • Focus on value, not a checklist

    The new AMAM shifts the focus of analytics strategy to achieving value, so you’re looking at its real impact on care delivery and organizational performance.

  • Break down data silos

    AMAM guides you towards data-sharing across different platforms, so providers and patients have the data they need to inform decisions.

  • Reduce the cognitive load on clinicians

    AMAM now measures how analytics supports your busy workforce, from data integration across the care journey to building decision supports for clinicians.

  • Create a culture of responsible analytics

    AMAM helps you create transparency and guidelines around how data is used, to strengthen trust and engagement from both providers and patients.

  • The fact that we had such broad buy- in across the organization was a testament to the clarity AMAM gave us.

    Kent. A Anderson

    Executive Director, Data Center of Excellence | UC Davis Health

  • Your AMAM journey

    Explore the stages of the new AMAM and get a sense for how we’ll guide you towards advanced analytics.

  • Stage 0

    Laying the groundwork

    We’ll meet you at your current level of data utilization and infrastructure, and get it aligned with crucial government mandates and regulatory policy.

  • Stage 1

    Building capacity for analytics

    You’ll set up secure collection, storage, and management for your data, while considering risks, regulatory policy, and the tools you’ll need to scale your usage.

  • Stage 2

    Starting development of analytics strategy

    You’ll establish a clear analytics strategy for the organization, set roles and responsibilities, and align the strategy with your leadership’s top-level goals.

  • Stage 3

    Integrating data into clinical workflows

    You’ll bring data from multiple sources into operational and clinical workflows—and earn board-level buy-in for your analytics strategy.

  • Stage 4

    Fostering analytics literacy

    You'll focus on analytics literacy, continuous improvement, and patient-centered learning—including regular audits and testing.

  • Stage 5

    Data stewardship and security

    You’ll start to evaluate your data infrastructure content for bias, fairness, and equity to your analytics performance and strategy.

  • Stage 6

    Real-time data and responsible analytics

    You'll deliver data to provider teams and operational leaders in real-time—and introduce AI to predict risks and outcomes.

  • Stage 7

    Population-level predictive modelling

    You’ll be able to proactively monitor outcomes to inform equitable care programs that align with population-level health needs.

Talk to an expert about our maturity models

There's a HIMSS maturity model for everyone, and each model classifies a dimension of your digital health from Stages 0 to 7. Your system’s future starts right here.

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