AI in practice: how the Future Health Index 2026 shows healthcare moving from promise to progress

This year’s report, commissioned by Philips, draws on responses from more than 2,000 healthcare professionals and over 20,000 patients across 10 countries. The US findings paint a picture of a sector at a turning point – where adoption is nearly universal, early returns are visible and the real work now lies in responsibly scaling AI.

Here’s what the data reveals about AI's growing role in everyday care, where the gaps remain and what health systems need to do next.

The clearest message from the 2026 report is that AI is producing tangible, measurable gains for the clinicians who use it.

Optimism runs high. More than 8 in 10 US healthcare professionals (84%) believe AI can improve patient outcomes, and 7 in 10 (72%) say the benefits already outweigh the risks. That confidence isn’t abstract – it’s grounded in what clinicians are experiencing day to day.

Time is the most valuable currency in medicine, and AI is returning more of it. Nearly half of US clinicians (49%) report saving at least 132 hours a year on average – more than three full working weeks freed up from administrative tasks and routine work.

What matters is how they’re using that time. Many redirect it toward higher-value clinical work, and 48% say it leads to more thorough interactions with patients. In other words, AI isn’t just making work faster; it’s making care better.

AI is also helping medical practices do more. More than a third of clinicians (36%) say AI has increased their capacity to see additional patients, with a median increase of five patients per week. For systems facing staff shortages and rising demand, the added throughput is significant.

The quality of care is improving, too. Nearly 6 in 10 clinicians (58%) report better workflow efficiency, and 54% see faster diagnostic decision-making. AI is acting as a kind of “second set of eyes,” surfacing relevant information and flagging risks.

That extra vigilance carries real safety value. Almost 3 in 10 healthcare professionals (27%) say AI has helped them identify or prevent a potential medical error at least three times in the past three months – catching missed diagnoses, unsafe drug interactions or overlooked risks before they reach the patient.

The benefits extend to the bottom line. Three in 10 healthcare leaders (30%) report budget savings from AI implementation, and half (50%) say the benefits of their investment are meeting or exceeding costs. These early signals suggest AI can help systems do more with the resources they already have.

For all this momentum, the report surfaces a real tension: AI is spreading faster than healthcare systems can fully support it.

The clearest sign is how clinicians fill the gaps themselves. Nearly three-quarters (72%) say they turn to personal AI tools when workplace options don’t meet their needs. Demand is clearly outpacing what organizations can deploy.

Training is the missing piece. More than three-quarters of US healthcare professionals (77%) say AI training at their organization is unavailable, limited, or inconsistent. Clinicians want help in specific areas – checking the accuracy of AI recommendations, building technical skills and understanding legal liability.

This gap matters because it shapes whether AI is used safely and to its full potential. Rapid adoption without structured support risks inconsistent results and eroded trust. Closing it will take coordinated action from health systems, academia, accreditation bodies, and technology partners.

Perhaps the most important shift the report describes isn’t technological – it’s about roles. AI is changing who does what in healthcare, and clinicians are clear about where the boundaries should sit.

The headline finding: 93% of clinicians say it’s essential to keep a human in the loop as AI advances. They see AI as a partner that supports decisions, not one that makes them independently. Clinicians are comfortable with AI assisting their work, but the final responsibility – and accountability – stays with them.

This points toward a “hybrid care team,” where AI handles routine tasks like scheduling, organizing cases and pulling together fragmented data. That frees clinicians to work at the top of their capabilities and focus on the moments where their judgment matters most.

Patients are part of this team, too. They’re arriving at appointments more prepared and engaged, using AI to understand symptoms and ask better questions. The report makes clear that the most valued skills in this new era remain deeply human ones – relationships, communication and clinical judgment.

The 2026 report is candid: early gains are real, but the full potential hasn’t yet been unlocked. The constraint isn’t the technology – it’s integration. Moving from AI in practice to AI at scale will require focus in three areas.

The Future Health Index 2026 marks a genuine shift. AI in US healthcare is no longer a question of “if” but “how well.” The dividends – saved time, expanded capacity, safer care and early financial returns – are already emerging where AI is in use.

The opportunity now is to scale these gains responsibly: connecting fragmented systems, equipping the workforce and designing care around a hybrid team where human judgment stays at the center. Get this right, and AI moves from a promising tool to an essential part of delivering better care for more people.

To explore the full findings, read the complete Future Health Index 2026 report.