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Academics and Researchers
Data & Insights
With more than 30 years of comprehensive data, academic and government institutions worldwide consider AHA Data a go-to data resource for reliable, historic hospital data.
Why AHA Data
Data & Insights
The AHA Annual Survey of Hospitals profiles a universe of over 6,200 hospitals and 400 health care systems throughout the United States and associated areas, with exclusive data on health system performance and measures on patient satisfaction, readmissions, mortality, and quality.
Driving the Drivers
Improving operational performance of hospitals, health care IT strategy, health care leadership, workflow optimization, social determinants of health.
AHA Healthcare IT Database
Data & Insights
This annual survey conducted in collaboration with the Assistant Secretary for Technology Policy (formerly the Department of Health and Human Services and the Office of the National Coordinator (ONC)) gathers data that informs policymakers, providers, researches and vendors on health IT adoption, tools and trends.
AHA Data - Homepage
Data & Insights
With over 1,000 data points provided by more than 6,200 hospitals and 400 health care systems, AHA Data provides the tools hospital and health systems need to succeed in today’s rapidly evolving environment.
DataQuery AI
Data & Insights
Easily build reports and gain insights from the nation’s most trusted and comprehensive hospital data.
DataQuery AI 2025
Meet AHA DataQuery AI, powered by the American Hospital Association—the smarter, simpler way to harness the most credible and consistent data about the nation’s hospitals.
4 Critical Steps to Scale Generative AI
A new Accenture report, “Gen AI Amplified: Scaling productivity for health care providers,” highlights how generative artificial intelligence (AI) can offer a critical path forward for health care organizations — unlocking unprecedented productivity gains, enhancing patient care and reshaping the future of care delivery.
Rapidly Advancing Multiagent AI Apps Could Reshape Operations Efficiency
Early adopters in health care have begun to capitalize on artificial intelligence (AI) advancements by moving from chatbots to single-agent and multiagent systems working across multiple functions.