AI Adoption in Health Care: A Growing Divide Between Hospitals and Private Practice
As artificial intelligence (AI) makes strides in clinical care, a new report from the American Medical Association (AMA) reveals a troubling reality: while interest in AI is high across the profession, adoption is largely confined to hospital settings, leaving independent practices lagging behind.
Drawing from the 2023 AMA Digital Health Research study, the findings underscore a technological rift in U.S. healthcare. Most physicians report optimism about AI’s potential, but access to these tools remains deeply uneven depending on where and how physicians practice.
Physicians Are Eager, But Unequally Equipped
According to the report, 65% of physicians believe AI brings clinical advantages—ranging from streamlined documentation to smarter diagnostics and more coordinated care.
“The data show enthusiasm,” the article notes, “but access remains an issue for most independent physicians.”
That enthusiasm has translated into action—at least for some. Nearly 4 in 10 hospital-based physicians report access to advanced tools like AI-assisted diagnostics or workflow enhancers. By comparison, just 1 in 10 physicians in solo or small group practices say the same.
“Smaller practices often lack the staff and systems needed to evaluate, integrate and sustain new technology.”
The disparity isn’t just technical—it reflects systemic differences in funding, infrastructure, and internal support. Hospitals often have built-in IT teams, training resources, and financial leverage. Small practices, meanwhile, are left navigating implementation challenges with minimal help.
The Trust Gap and Cautious Adoption
Even where tools are available, trust remains a hurdle. Some AI solutions—like those used in documentation, imaging, or patient scheduling—are already showing value. But many physicians are hesitant to rely on tools that operate like black boxes.
“Physicians want tools they can trust—tools that are transparent and clinically validated,” an AMA contributor explains.
Concerns linger over how AI decisions are made, whether algorithms are clinically sound, and how they’ll impact physician-patient relationships. For small practices especially, the margin for error is thin—and skepticism is healthy.
Steps Forward for Independent Practices
The AMA recommends a phased, pragmatic approach for small practices looking to integrate AI. Begin with focused use cases—such as ambient clinical documentation or triage support—and expand gradually. Leadership engagement, careful financial planning, and ongoing feedback loops are key to success.
“We may see a future in which only large, well-funded systems benefit from AI, widening disparities in care delivery,” the article concludes.
Without targeted vendor support and policy alignment, AI may become yet another factor deepening inequities in healthcare delivery. The report serves as both a warning and a call to action—ensuring that innovation is accessible, not exclusive.
