Article type
Year
Abstract
Background: Artificial intelligence (AI) refers to the development of computer algorithms to accomplish tasks traditionally associated with human intelligence, such as the ability to learn and solve problems. Currently, AI has been applied in some medical fields. Potential benefits of AI may be increased diagnostic certainty, faster turnaround, and better quality of work life for physicians and caregivers. Although the role of AI is anticipated to increase soon, this technology should also be embraced by patients, physicians and caregivers, who are important but still neglected stakeholders. At present, it is still unknown how these groups view the developments of AI in medical fields in terms of awareness of this topic, uncertainties, and expectations.
Objectives: To better understand the underlying patients, physicians and caregivers’s perspectives on AI, qualitative research may be ideally suited to discover subtleties and nuances, which often cannot be gleaned from quantitative research alone. Thus, we conducted a targeted literature review of the qualitative evidence on patients, physicians and caregivers’s perspectives on AI.
Methods:Systematic and reproducible literature searches were conducted in PubMed, Embase, Web of Science and the Cochrane library for articles published from the earliest publication date available. We also screened the reference lists of relevant reviews and meta-analysis. No language restrictions were applied. Two authors independently included studies, extracted data. In addition, 2 independent researchers evaluated the articles using the National Institute for Health and Care Excellence (NICE) quality appraisal checklist qualitative studies, according to which articles were scored on the basis of their theoretical approach (whether the qualitative design was appropriate), study design, data collection method, trustworthiness, analysis, and ethics. Based on the checklist, articles were rated as good, fair, or mixed.
Results:Final results will be available by the time of the Cochrane Colloquium.
Conclusions:Findings of this project will provide information about current patients, physicians and caregivers’ perspectives on AI. The relevant researchers should concern on these groups level of knowledge of AI and identify domains related to the use of AI in medical fields.
Patient or healthcare consumer involvement: No
Objectives: To better understand the underlying patients, physicians and caregivers’s perspectives on AI, qualitative research may be ideally suited to discover subtleties and nuances, which often cannot be gleaned from quantitative research alone. Thus, we conducted a targeted literature review of the qualitative evidence on patients, physicians and caregivers’s perspectives on AI.
Methods:Systematic and reproducible literature searches were conducted in PubMed, Embase, Web of Science and the Cochrane library for articles published from the earliest publication date available. We also screened the reference lists of relevant reviews and meta-analysis. No language restrictions were applied. Two authors independently included studies, extracted data. In addition, 2 independent researchers evaluated the articles using the National Institute for Health and Care Excellence (NICE) quality appraisal checklist qualitative studies, according to which articles were scored on the basis of their theoretical approach (whether the qualitative design was appropriate), study design, data collection method, trustworthiness, analysis, and ethics. Based on the checklist, articles were rated as good, fair, or mixed.
Results:Final results will be available by the time of the Cochrane Colloquium.
Conclusions:Findings of this project will provide information about current patients, physicians and caregivers’ perspectives on AI. The relevant researchers should concern on these groups level of knowledge of AI and identify domains related to the use of AI in medical fields.
Patient or healthcare consumer involvement: No