TY - JOUR
T1 - Patient apprehensions about the use of artificial intelligence in healthcare
AU - Richardson, Jordan P.
AU - Smith, Cambray
AU - Curtis, Susan
AU - Watson, Sara
AU - Zhu, Xuan
AU - Barry, Barbara
AU - Sharp, Richard R.
N1 - Funding Information:
This study was funded by the Mayo Clinic Biomedical Ethics Research Program. No external funding was associated with the work described. The authors thank Joel Pacyna for his help with study recruitment.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/12
Y1 - 2021/12
N2 - While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications of AI in healthcare. Our results indicate that patients have multiple concerns, including concerns related to the safety of AI, threats to patient choice, potential increases in healthcare costs, data-source bias, and data security. We also found that patient acceptance of AI is contingent on mitigating these possible harms. Our results highlight an array of patient concerns that may limit enthusiasm for applications of AI in healthcare. Proactively addressing these concerns is critical for the flourishing of ethical innovation and ensuring the long-term success of AI applications in healthcare.
AB - While there is significant enthusiasm in the medical community about the use of artificial intelligence (AI) technologies in healthcare, few research studies have sought to assess patient perspectives on these technologies. We conducted 15 focus groups examining patient views of diverse applications of AI in healthcare. Our results indicate that patients have multiple concerns, including concerns related to the safety of AI, threats to patient choice, potential increases in healthcare costs, data-source bias, and data security. We also found that patient acceptance of AI is contingent on mitigating these possible harms. Our results highlight an array of patient concerns that may limit enthusiasm for applications of AI in healthcare. Proactively addressing these concerns is critical for the flourishing of ethical innovation and ensuring the long-term success of AI applications in healthcare.
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U2 - 10.1038/s41746-021-00509-1
DO - 10.1038/s41746-021-00509-1
M3 - Article
AN - SCOPUS:85115351559
SN - 2398-6352
VL - 4
JO - npj Digital Medicine
JF - npj Digital Medicine
IS - 1
M1 - 140
ER -