AI’s Rapid Integration in Healthcare
Artificial intelligence (AI) is already changing healthcare, but data science training for clinicians and medical students is still largely elective. The vast majority of doctors believe that needs to change.
According to a soon-to-be-published Medscape report, AI Adoption in Healthcare, 85% of practicing physicians agreed: The use of AI in medicine will require significant changes in medical education and training.
Experts interviewed for this story concur that wielding AI-assisted tools well will require a massive educational push in medical school and beyond. To manage this new technology while maintaining their clinical judgment and protecting patients, physicians will need more training on how AI is constructed and the data it utilizes.
Keeping Doctors in Control
More AI education is crucial for doctors to maintain their sense of autonomy, according to Shauna Overgaard, PhD, senior director for AI Strategy & Frameworks at the Mayo Clinic Center for Digital Health in Rochester, Minnesota.
‘It’s never about just trusting AI,’ Overgaard emphasized. ‘We want physicians to maintain their judgment, their empathy, their perception of control — all things that contribute to their skepticism.’
While AI has the potential to make significant improvements in healthcare, it can also fail. Patients and the healthcare system require doctors who understand how to leverage AI while also being critical of its suggestions.
A Strong Foundation in Data Science
Ideally, AI education should begin early in medical training. Peter Steel, MD, an emergency medicine physician and AI researcher at Weill Cornell Medical School, believes it should become a core part of the curriculum.
‘Once students have a solid understanding of the architecture that drives AI, they’ll be able to interpret its outputs critically and crosscheck with their clinical judgment,’ said Steel.
Doctors will also need training on how to deliver AI-based insights to patients, including explaining where the AI output originated and assessing its reliability.
Need for Comprehensive Training Across All Levels
It’s not just students who need AI education; the entire clinical workforce must understand how to provide AI-augmented care. Experts agree that healthcare systems should take responsibility for educating their staff on new AI tools as they emerge.
‘If the workforce is apprehensive or feels underprepared, they won’t adopt the AI, no matter how beneficial it may be,’ remarked Steel.
Mayo Clinic has already invested heavily in AI education, incorporating it into some training programs and forming partnerships with technology developers.
There is a clear consensus among healthcare leaders: enhanced AI training and education is essential for the future of medical practice. As we embrace this technology, it is vital that doctors are equipped to navigate its complexities, ensuring that patient care remains at the forefront of their practice.’
