AI is saving clinicians significant time, but a new global survey from Philips reveals a critical gap: the majority of healthcare professionals say training in the technology is inadequate or unavailable.
The Philips Future Health Index, based on surveys of over 2,000 healthcare professionals and 20,000 patients across 10 countries, found that 46% of clinicians save an average of 132 hours annually using AI. Half say AI has increased their capacity to see patients.
Doctors and nurses report using AI for clinical note transcription, scheduling, and as a “buddy” to discuss work ideas. On the clinical side, AI helps analyze X-rays, flag dangerous drug interactions, and suggest diagnoses.
But adoption by healthcare organizations has not kept pace. 64% of clinicians say they are using personal AI tools because workplace options fall short. 70% report that AI training is unavailable, limited, or inconsistent.
“The organizations aren’t moving fast enough to provide the tools and the training,” said Philips Chief Innovation Officer Shez Partovi.
The report stresses that role-specific training is essential. 90% of professionals say keeping a human in the loop is critical, and 86% believe all AI outputs require human oversight.