Key takeaways:
- A majority of the hematology/oncology workforce reported having little to no information about AI.
- Most help use of AI in medical schooling, although issues stay about its function in scientific follow.
CHICAGO — The hematology/oncology workforce endorses the incorporation of AI into medical schooling, in line with findings offered at ASCO Annual Assembly.
The hem/onc workforce additionally helps utilizing AI in scientific follow, however issues about potential challenges and dangers persist, survey outcomes confirmed.
Information derived from Correia G, et al. Summary 9002. Offered at: ASCO Annual Assembly; Might 30-June 3, 2025; Chicago.
“AI instruments are already getting used, they’re changing into extra extensively out there they usually aren’t going away,” researcher Guilherme Sacchi de Camargo Correia, MD, third-year hematology/oncology fellow at Mayo Clinic in Jacksonville, Florida, informed Healio. “They’ll be utilized by physicians, sufferers and caregivers.
“For that purpose, we wished to know how the hem/onc workforce understands and perceives this know-how and its potential function of their each day lives,” he added. “These findings are thought-provoking, and I feel they assist us get a way of what we want to consider as we attempt to transfer the needle ahead.”
Perceptions and issues
The evolution of AI and the event of extra user-friendly software program have contributed to its fast adoption in well being care.
Correia and colleagues aimed to evaluate perceptions and issues among the many hem/onc workforce in regards to the function of AI in medical schooling and scientific follow in hopes of gaining insights that may be related for integration of AI into the specialty.
Researchers administered nameless on-line questionnaires to the complete hem/onc workforce at Mayo Clinic’s three principal websites between Nov. 7, 2024, and Jan. 20, 2025.
The 344 voluntary survey respondents included physicians (college, n = 77; fellows, n = 41) and non-physicians (superior follow suppliers, n = 49; registered nurses, n = 177).
Two-thirds of respondents (67%) reported having little to no information about AI. A majority (64%) reported having used AI, however extra had accomplished so for private use (51%) than as a part of medical schooling (31%) or scientific follow (28%).
Almost all contributors (94%) indicated they consider AI will probably be included into hem/onc medical schooling, and 90% considered that integration as useful.
A majority of physicians — each college (92%) and fellows (85%) — responded that comradeship packages ought to combine AI coaching into the curriculum.
Most respondents indicated AI might be built-in into medical schooling by growing supplies for affected person schooling (81%), serving to educators elaborate on lectures or different supplies (71%), growing simulation fashions (70%) and serving to with self-study (70%).
Most respondents (95%) indicated that they suppose AI will probably be built-in into hem/onc scientific follow, and 90% indicated they’d embrace AI on this setting.
A better proportion of respondents indicated they consider AI will assist with documentation throughout or after visits (80%) or help with chart overview (73%) than assist with evaluation of lab outcomes (66%) or assist with drug dosing and interplay monitoring (58%).
Most respondents indicated they felt AI will probably be used to gather affected person information for database analysis (85%), assist display screen for scientific trial enrollment (78%) and help with communication with sufferers following visits (75%). Solely half indicated it will likely be used to generate analysis hypotheses (51%).
Regardless of AI’s potential utility in scientific follow, 62% of respondents — together with 68% of APPs and registered nurses, and 50.8% of physicians — expressed issues in regards to the dangers that it might pose.
The most typical perceived dangers included the potential for inaccuracies or diminished care high quality, in addition to the likelihood that AI would cut back time spent with sufferers.
In distinction, one-third (33%) reported feeling AI would enhance effectivity and improve care high quality, and 30% indicated they thought AI would assist improve time clinicians spend with sufferers.
About one in six respondents (14%) expressed fear that their function might be changed by AI.
“Informally, we hear lots of people say, ‘It’s all going to be AI sooner or later,’” Correia stated. “I used to be pleasantly shocked on the comparatively low numbers of respondents who consider AI will, in truth, substitute us, as a result of I don’t suppose that would be the actuality, both.”
‘Training is crucial’
The findings recommend correct “systematic schooling” of the hem/onc workforce is required to mitigate what Correia and colleagues characterised as “authentic current issues.”
“Training is crucial, and the significance of that can’t be overstated,” Correia stated. “We needs to be fascinated with this for fellowship, residency and medical faculty — not just for physicians, however for nursing faculty, APP faculty and for different allied professionals.”
Correia additionally emphasised the significance of the well being care group partnering with AI builders to make sure applicable and efficient integration.
“I don’t know learn how to create these instruments, and an AI developer could not understand how I need to use AI,” Correia stated. “This collaboration is vital. Proper now, it’s virtually like we try to suit a sq. block right into a circle. Typically it’d match, however almost definitely not completely. We’d desire to have a round block becoming right into a circle, and the one method to try this is begin originally by having well being care professionals take part on the event facet.”
Sources/Disclosures
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Correia G, et al. Summary 9002. Offered at: ASCO Annual Assembly; Might 30-June 3, 2025; Chicago.
Disclosures:
Correia reviews no related monetary disclosures. Please see the examine for all different authors’ related monetary disclosures.
