Accepted for/Published in: Journal of Medical Internet Research
Date Submitted: Jul 16, 2022
Date Accepted: Dec 19, 2022
Date Submitted to PubMed: Dec 30, 2022
Artificial Intelligence in Medicine: A Text Mining of Health Care Workers’ Opinions
ABSTRACT
Background:
Artificial intelligence (AI) is being increasingly adopted in the healthcare industry for administrative tasks, patient care operations, and medical research.
Objective:
To examine the opinions of healthcare workers about the adoption and implementation of AI-powered technology in the healthcare industry.
Methods:
Data were comments about AI posted on an online forum by 905 healthcare professionals from at least 77 countries from May 2013 through October 2021. Structural topic modeling was used to identify the topics of discussion and hierarchical clustering was performed to determine how these topics cluster into different groups.
Results:
Twelve topics were identified from the collected comments. These comments clustered into two groups: 1) impact of AI on healthcare system and practice and 2) AI as a tool for disease screening, diagnosis, and treatment. Topics associated with negative sentiments included concerns about AI replacing human workers, the impact of AI on traditional medical diagnostic procedure (i.e., patient history and physical examination), the accuracy of the algorithm, and the entry of information technology companies in the healthcare industry. Concerns about the legal liability for using AI in treating patients were discussed as well. Positive topics about AI included the opportunity offered by the technology for improving the accuracy of image-based diagnosis and for enhancing personalized medicine.
Conclusions:
The adoption and implementation of AI applications in the healthcare industry are eliciting both enthusiasm and concerns about patient care quality and the future of healthcare professions. The successful implementation of AI-powered technologies requires the involvement of all stakeholders, including patients, healthcare organizations workers, health insurance companies, and government regulatory agencies.
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Copyright
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