A study led by researchers at Nanyang Technological University in Singapore found that individuals are more likely to accept AI-suggested preventative health interventions involving human health experts.
We also found less trust in AI-powered preventative care than interventions led by human experts.
This study explored user perceptions of AI-suggested preventive health interventions, such as health checks and physical activity prompts, compared to those recommended by humans. Approximately 15,000 participants participated in South Korea using an unpublished mobile health app.
The first 9,000 participants were divided into three groups. One group was given an AI-recommended daily number of steps. Another group received step count recommendations from a human expert, and a third controlled group received a neutral intervention that neither the AI nor the health expert mentioned.
We found that about 1 in 5 people who received AI suggestions accepted the intervention, and 22% of people in the second group accepted suggestions from human experts.
Another group of participants was then recruited, one group received an intervention disclosing that they would work with a medical professional to use the AI, and another group explained how the AI came up with the step recommendations. I received an intervention to
From this cohort, the researchers noted that individuals were more receptive to AI-suggested health interventions complemented by human experts than pure AI or human-based interventions. It also increases confidence in transparent AI-generated interventions.
why it matters
research Findings published in the journal Production and Operations Management show that even as healthcare systems move toward greater adoption of AI in screening, diagnosing, and treating patients, the human element remains important.
“Our research suggests that the emotional human component associated with emotions and attitudes will continue to be important even as health interventions become increasingly guided by AI, and that such technologies will not replace humans. Associate professor at NTU Nanyang Business School, who led this research.
the bigger trend
Given the increasing prevalence of machine learning and AI in healthcare settings, it is becoming more important to design digital technologies with users in mind so that they become an integral part of care interventions. increase.
At the HIMSS Forum at the end of last year, Jai Nahar, a pediatric cardiologist at the U.S. National Children’s Hospital, said, “Any time you’re trying to deploy a productive solution that incorporates AI, [the patients should be involved] From the product or service design stage,” he added, clinicians also need to be involved in this process.
while another A South Korean mobile health study released earlier this year found that mobile health apps can mitigate the impact of social determinants on the health of Koreans. Based on a study of over 1,000 participants, frequent use of mobile health technology mitigates the impact of SDOH, including social and economic inequalities, on individuals’ ability to manage their health and their personal outlook on health. It became clear that it can be done.