What's Happening?
A recent survey conducted by the Healthcare Financial Management Association (HFMA) reveals that while artificial intelligence (AI) is widely used among health systems, comprehensive governance and strategic planning around AI remain limited. The survey, which included responses from HFMA members during the second quarter of 2025, found that only 18% of health systems have mature AI programs, typically those with annual net patient revenue exceeding $1 billion. Despite the widespread use of AI tools, such as automation and chatbots, only half of the surveyed systems have adequate resources for AI implementation. The survey highlights a growing recognition of the need for governance, with 70% of chief financial officers reporting some form of AI governance process, up from 41% in 2024. However, many systems lack formal data policies for AI use, and cost reduction remains a primary motivation for AI investments, though only 39% of CFOs believe these investments will lead to overall cost savings.
Why It's Important?
The increasing adoption of AI in healthcare systems signifies a shift towards more technologically advanced operations, potentially improving efficiency and patient care. However, the lack of comprehensive governance and strategic planning poses risks, including data privacy concerns and ineffective resource allocation. The survey underscores the importance of establishing robust governance frameworks to ensure safe and effective AI deployment. As AI becomes integral to healthcare, systems that fail to address governance and resource challenges may struggle to realize the full benefits of AI, potentially impacting patient outcomes and operational efficiency. The findings also highlight the need for healthcare systems to collaborate with vendors integrated with existing electronic health record systems to streamline AI implementation.
What's Next?
Healthcare systems are likely to continue expanding their use of AI tools, driven by the potential for cost savings and improved patient care. However, addressing governance and resource challenges will be crucial for maximizing the benefits of AI. Systems may need to invest in developing internal strategies and policies to manage AI data and vendor relationships effectively. Additionally, the White House's recent AI Action Plan, aimed at promoting AI development and adoption, may influence healthcare systems to prioritize AI governance and strategic planning. As digital health investors continue to support AI-enabled startups, healthcare systems may explore partnerships with these companies to enhance their AI capabilities.
Beyond the Headlines
The survey results suggest deeper implications for the healthcare industry, including ethical considerations around AI use and data sharing. As AI tools become more prevalent, healthcare systems must navigate complex issues related to patient privacy and data security. The lack of formal data policies raises concerns about the potential misuse of sensitive information. Furthermore, the reliance on existing vendors for AI solutions may limit innovation and competition, potentially stifling the development of new technologies. Healthcare systems must balance the benefits of AI with ethical and legal responsibilities to protect patient data and ensure equitable access to AI-driven healthcare solutions.
