Users are more likely to grasp AI-powered preventive health measures with human contact, study finds

A study led by researchers from Nanyang Technological University Singapore has revealed that individuals are more likely to accept AI-proposed preventive health interventions with the participation of experts. human health.

It also found less trust in AI-assisted preventive care than interventions led by human experts.


The study examined user perceptions of preventive health interventions, such as wellness checks and physical activity reminders, suggested by AI versus those recommended by children. People. It involved about 15,000 participants in South Korea using an undisclosed mobile health app.

The first group of 9,000 participants was divided into three groups: one group took daily steps suggested by the AI; another group received step recommendations from human experts, and a third controlled group received a neutral intervention that did not address AI and health professionals.

It was found that nearly a fifth of those who received AI recommendations accepted the intervention while 22% of those in the second group accepted recommendations from human experts.

Then another group of participants was recruited, with one group receiving an intervention revealing the use of AI in tandem with medical professionals and another receiving an intervention explaining how the AI ​​made recommendations about the interventions. step.

From this cohort, the researchers note that individuals are accepting AI-recommended health interventions supplemented by human experts over fully human or AI-based interventions. Trust rates in AI-generated transparency interventions also have higher trust rates.


Research by detectwas published in the journal Operations and Manufacturing Management, indicating that the human factor remains important even as health systems continue to apply AI to screen, diagnose, and treat patients.

Hyeokkoo Eric Kwon said: “Our study shows that the affective human factor, which is related to emotions and attitudes, remains important even as health interventions are increasingly guided by health interventions. AI and that such technology works best when complementing humans rather than replacing them,” said Hyeokkoo Eric Kwon. an associate professor from Nanyang NTU Business School, who led the study.


With the growing prevalence of machine learning and AI in healthcare environments, it becomes even more important to design digital technologies with users in mind to ensure they become an integral part of healthcare. care interventions.

In a HIMSS forum late last year, Jai Nahara pediatric cardiologist at Children’s National Hospital in the US, says that “whenever we try to come up with an effective solution that incorporates AI, [the patients should be involved] right from the product or service design stage.” The doctor must also be involved in the process, he added.

Meanwhile, a mobile health research in Korea published earlier this year showed that mobile health apps can control the impact of social determinants on the health of Koreans. Based on a survey of over 1,000 participants, it has been shown that regular use of mobile health technologies can reduce the impact of SDOH, such as socioeconomic inequality, on productivity. self-management of one’s health and their personal view of health.

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