HIMSS today announced an update to its Adoption Model for Analytics Maturity at the HIMSS24 Asia-Pacific conference in Seoul.

The earlier version of AMAM will now be referred to as AMAM Classic and the modernised version will be referred to as AMAM24.

WHY IT MATTERS

The new AMAM maturity framework centres on five key imperatives for healthcare organisations:

• Governance; 

• Analytics life cycle;

• Data and infrastructure;

• Personalised analytics; and

• Analytics impact and outcomes.

HIMSS redesigned the AMAM to enable the successful adoption of advanced analytics, and AI in particular, for health organisations to achieve priority outcomes. It begins with the foundational requirements of data, digital infrastructure, and governance.

Like the other HIMSS maturity models, AMAM24 is structured around a ladder of eight maturity stages - from zero to seven - to help healthcare organisations optimise their healthcare analytics capabilities, offering an evidence-based framework for improving data governance, predictive analytics, and AI usage.

THE LARGER TREND

Globally, 26 organisations achieved Stage 6 and 13 have achieved Stage 7 for the AMAM. In APAC, two organisations (China Medical University Hospital, and Seoul National University Bundang Hospital) have reached AMAM Stage 6. South Korea's Samsung Medical Center is the only organisation in APAC to have achieved Stage 7. 

ON THE RECORD

"AMAM24 does not prescribe what policy framework should be used in an organisation; however, it does require evidence of analytics strategy and governance policies which support and enable safety and quality of care," said Widi Salim, Senior Digital Health Advisor, HIMSS. 

"AMAM24 expands its earlier focus on data and IT to also now include prescriptive analytics, and data driven decision making."