A new report from the health technology company Philips, titled Future Health Index 2026, reveals that clinicians across Europe and beyond are integrating artificial intelligence into their daily routines at a pace that outstrips the capacity of hospitals and health systems to manage it. Based on surveys of more than 2,000 clinicians and over 20,000 patients in ten countries—including France, Germany, the Netherlands, and the United Kingdom—the study quantifies both the benefits and the growing tensions surrounding AI adoption in healthcare.
Time savings and workflow gains
Nearly half of the clinicians surveyed (46%) reported saving at least 132 hours annually—equivalent to more than three full working weeks—thanks to AI tools. Nurses, in particular, led the way in reclaiming time from administrative tasks. Shez Partovi, Chief Innovation Officer at Philips, noted that this time is being redirected toward patient care and collaboration. “Nurses said, will you give that time back to me? I put it into collaboration with other clinicians, more time with patients, more time reflecting on the case,” he explained.
Around 71% of medical professionals reported improved workflow efficiency, and 50% said AI has increased their capacity to see more patients. The benefits extend beyond clinical metrics: half of respondents said AI has improved their work-life balance and reduced stress levels. For health systems already strained by workforce shortages—a challenge familiar in many European countries—these gains are particularly valuable.
How clinicians are using AI
The most common applications involve administrative tasks such as transcribing clinical notes and scheduling appointments. But clinicians are also using AI as a “buddy” to discuss work-related ideas, speed up X-ray analysis, and flag dangerous drug combinations. The report found that 39% of respondents have seen AI identify or prevent potential medical errors at least three times in the past three months, and more than 65% said AI has increased their confidence in decision-making.
Despite these positive signals, the report highlights a significant gap between clinician demand and organisational readiness. Nearly two-thirds of healthcare professionals turn to personal AI tools when workplace options fail to meet their needs. “There is such a high desire by clinicians to use tools that they're actually also using their own personal tools because they said that their organizations aren't moving fast enough,” Partovi said.
Training and governance lag behind
Seven out of ten clinicians said that training for AI-enabled tools is unavailable, limited, or inconsistent at their organisation. Partovi described this as a unique moment: “This is the first time that I recall that the adoption of the tool is so fast that the organization can't keep up.” The rapid pace of change raises questions about privacy, safety, security, and governance—issues that European health systems, from the UK’s NHS to Germany’s Krankenhäuser, are only beginning to address.
The report also found that 44% of clinicians worry about losing clinical skills through over-reliance on AI, while 37% say their role is changing faster than they are comfortable with. Nevertheless, an overwhelming majority—86%—insist that all AI outputs require human oversight, and more than 80% believe AI will never replace the relationships clinicians build with patients.
As European policymakers and hospital administrators grapple with these challenges, the Philips report serves as a clear signal: the technology is already here, but the infrastructure to support it safely and effectively is not. For a continent where healthcare systems are under constant pressure, the stakes could not be higher.
