Hospital and health system leaders are rethinking how they use artificial intelligence (AI) in healthcare, moving from initial adoption to scaling it effectively. At the recent Xsolis conference, 43% of attendees noted that competing priorities and limited IT resources are major obstacles to expanding AI use. As organizations look ahead, they are prioritizing the operational expansion of AI, measuring its return on investment (ROI), and strengthening governance around its use.

The survey revealed that nearly a third of respondents aim to expand AI into new clinical areas, while another 29% want to improve the performance measurement of existing AI tools. However, skepticism from clinical staff about AI’s accuracy and its relevance to their workflows remains a significant hurdle for adoption. Joan Butters, CEO of Xsolis, emphasized that the focus has shifted from questioning AI’s value to figuring out how to implement it responsibly and effectively.

This shift in perspective is crucial for anyone interested in the future of healthcare. As AI becomes more integrated into clinical processes, it could lead to more efficient care, better patient outcomes, and potentially lower costs. However, the journey is still in progress, and organizations are working to build trust in these technologies among healthcare providers.

While AI’s potential in healthcare is promising, it remains an evolving field. The findings reflect a growing recognition of the need for careful implementation and ongoing evaluation to ensure that AI truly benefits both healthcare providers and patients.

Source: globenewswire.com