Philips Future Health Index 2025: AI poised to transform global healthcare, urging leaders to act now

May 15, 2025

AI has the power to cut care delays and manage data overload, but trust gaps among clinicians and patients threaten to slow adoption and impact

Amsterdam, the Netherlands – Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, has released its 10th annual Future Health Index (FHI) report, highlighting the growing strain on global healthcare systems. The FHI 2025 Report, the largest global survey of its kind analyzing key concerns of healthcare professionals and patients, indicates AI holds promise for transforming care delivery. However, gaps in trust threaten to stall progress at a time when innovation is most needed.

“The need to transform healthcare delivery has never been more urgent,” said Carla Goulart Peron, M.D., Chief Medical Officer at Philips. “In more than half of the 16 countries surveyed, patients are waiting nearly two months or more for specialist appointments, with waits in Canada and Spain extending to four months or longer. As healthcare systems face mounting pressures, AI is rapidly emerging as a powerful ally, offering unprecedented opportunities to transform care and overcome today’s toughest challenges.”

Long waits, worsening outcomes
The FHI 2025 report reveals 33% of patients have experienced worsening health due to delays in seeing a doctor, and more than 1 in 4 end up in the hospital due to long wait times. “Cardiac patients face especially dangerous delays, with 31% being hospitalized before even seeing a specialist. Without urgent action, a projected shortfall of 11 million health workers by 2030 could leave millions without timely care,” Dr. Peron added.

Clinician burnout and data burdens call for digital relief
More than 75% of healthcare professionals report losing clinical time due to incomplete or inaccessible patient data, with one-third losing over 45 minutes per shift, adding up to 23 full days a year lost by each professional. “These inefficiencies amplify stress on already understaffed teams and contribute to burnout,” said Gretchen Brown, RN, VP and Chief Nursing Information Officer at Stanford Health Care. “Recognizing this, as clinicians, we see AI as a solution and understand that delayed adoption can also carry major risks.”   

Of the nearly 2,000 healthcare professionals surveyed, if AI is not implemented: