Helping NHS organisations turn data into insight, insight into action and innovation into trusted outcomes.
Through analytics, operational improvement and responsible AI assurance, we help organisations improve performance, strengthen governance and make better use of data.
This short video tells you more about our approach.
Find the opportunity. Prove the value. Govern the risk. Transfer the capability.
Identify opportunities in data and processes
Test and validate impact
Build assurance and governance
Create sustainable internal capability
Analytics & Operational Improvement
Using data to identify trends, improve performance and support decision making.
Assurance Analytics & Anomaly Detection
Using advanced analytics to identify unusual patterns and support targeted assurance activity.
Payroll Analytics & Workforce Insight
Turning workforce and payroll data into actionable intelligence.
AI & Responsible Innovation
Supporting organisations to adopt AI safely, responsibly and effectively.
Our specialists use leading analytics, visualisation and AI technologies including Microsoft Power BI, advanced analytics and machine learning where they add demonstrable value.
Unlike many providers, we combine:
This allows us to support organisations from insight and opportunity identification through to implementation, assurance and capability transfer.
Ready to Turn Data into Action?
Whether you're exploring analytics, workforce insight, assurance analytics or responsible AI adoption, our specialists can help.
Contact the MIAA Analytics, AI & Digital Health team to discuss your challenges and opportunities.
Regional Commissioning Support
Providing intelligence and benchmarking to support informed commissioning decisions. The focus is on connecting evidence to the choices leaders need to make, rather than presenting information in isolation
Hospital Transport Analytics
Using geospatial analysis to identify service efficiencies and improve planning.
AI Governance & Assurance
Helping organisations adopt AI responsibly through governance, assurance and risk management. This supports responsible adoption and a move beyond experimentation towards more controlled, evidence-based use.