A study by researchers at Singapore’s Nanyang Technological University found that people are more likely to take preventive measures suggested by AI with input from health experts.
He also found less trust in AI-based preventive care than interventions led by human experts.
The study examined user perceptions of preventive health interventions such as health checks and physical activity prompts offered by AI versus those recommended by humans. It was attended by about 15,000 participants from South Korea using an unknown mobile health app.
The first group of 9,000 participants was divided into three: one group followed the daily steps recommended by the AI; another group received step-by-step recommendations from human experts, and a third control group received a neutral intervention that did not mention an AI or a healthcare expert.
It found that almost one in five of those who received AI suggestions agreed with the intervention, while 22% of people in the second group accepted the recommendations of the human experts.
Later, another group of participants was recruited: one group received an intervention that revealed the use of AI in tandem with health experts, and another group received an intervention that explained how the AI offered step-by-step recommendations.
From this cohort, researchers noted that people are more accepting of AI-provided healthcare interventions that are performed by human experts than AI-only or human-based interventions. There is also a higher level of trust in AI-generated transparent interventions.
WHY IS IT IMPORTANT
The study The results, published in the journal Production and Operations Management, show that the human factor remains important, even as the healthcare system continues to implement AI for screening, diagnosing and treating patients.
“Our research shows that the affective human element, which is associated with emotions and attitudes, remains important even as health care interventions are increasingly driven by artificial intelligence, and that this technology works best when it complements people, not replaces them,” Erik Kwon said to Hyukku. , adjunct professor at NTU Nanyang Business School, who led the study.
With the growing prevalence of machine learning and artificial intelligence in healthcare settings, it is becoming increasingly important to design digital technologies with user needs in mind so that they become an integral part of medical interventions.
At the HIMSS forum at the end of last year Jai Naharcardiologist, pediatrician at Children’s National Hospital in the United States, said that “every time we try to deploy a productive solution that includes AI, [the patients should be involved] from product or service design. He added that clinicians should also be included in this process.
Meanwhile another A South Korean mHealth study published earlier this year found that mobile health apps can mitigate the impact of social determinants on the health of South Koreans. Based on a survey of more than 1,000 participants, it was found that frequent use of mobile health technologies can mitigate the impact of SDHS, such as economic inequality in society, on a person’s ability to manage their health and on their personal vision of their health. .