Holland Bloorview achieves Stage 7 for analytics maturity

TORONTO – Holland Bloorview Kids Rehabilitation Hospital has achieved the highest level within the HIMSS Analytics Adoption Model for Analytics Maturity (AMAM), Stage 7 validation. This accomplishment places the hospital among an elite group of healthcare organizations worldwide and only one of two hospitals in Canada recognized for analytics expertise and commitment to leveraging data to enhance client care and operational efficiency.

HIMSS leadership noted that Holland Bloorview Kids Rehab Hospital serves as an “exemplary model of how data can drive organizational improvement and be effectively applied in real-time decision-making.”

“A huge thank you to our IMT team and our clinical stakeholders in achieving this recognition,” said Pakizah Kozak (pictured), chief information officer at Holland Bloorview.

How HIMSS describes each stage of the Analytics Maturity Assessment Model (AMAM):
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.