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Table 3 Participants’ attitudes and practices towards Big Data and AI

From: Evaluating the understanding of the ethical and moral challenges of Big Data and AI among Jordanian medical students, physicians in training, and senior practitioners: a cross-sectional study

Item

Disagree

n (%)

Neutral

n (%)

Agree

n (%)

Attitudes

 It is unethical to use Big Data in healthcare where it is available if informed consent has not been provided even if it will benefit patients’ health

61 (13.1%)

136 (29.2%)

269 (57.7%)

 Access to Big Data in healthcare should be provided via a third party with no conflicts of interest that is independent both from the data owner and the researcher

62 (13.3%)

157 (33.7%)

247 (53.0%)

 Big data and AI applications in healthcare could be used for military, criminal or other ends which were not intended by its developers

103 (22.1%)

135 (29.0%)

228 (48.9%)

 Big Data and AI applications in healthcare could exacerbate existing power asymmetries by, for instance, giving a large amount of power to those already holding power over other people

55 (11.8%)

165 (35.4%)

246 (52.8%)

 Ethical processes unduly restrict the use of Big Data for research in healthcare

104 (22.3%)

183 (39.3%)

179 (38.4%)

 Big Data platform could assist future research and education in healthcare

29 (6.2%)

99 (21.2%)

338 (72.5%)

 I expect Big Data and AI application in healthcare will complement the role of physicians

57 (12.2%)

123 (26.4%)

286 (61.4%)

 I expect Big Data and AI application in healthcare will substitute the role of physicians

275 (59.0%)

108 (23.2%)

83 (17.8%)

Practices

 I have navigated the legal and regulatory aspects regarding the use of big data and AI applications in healthcare

244 (52.4%)

143 (30.7%)

79 (17.0%)

 I have used AI-powered diagnostic tools in my practice

251 (53.9%)

116 (24.9%)

99 (21.2%)

 Jordan has laws that regulate the use of AI and Big Data applications in healthcare practice

240 (51.5%)

159 (34.1%)

67 (14.4%)