Table 6 Perceived negative impact of artificial intelligence (AI) on the future of healthcare professionals (attitude domain 3–4 items) (N = 642)
Item | **Category | Total (N = 642) | UAE (n = 227) | Jordan (n = 108) | KSA (n = 104) | Egypt (n = 203) | P-value |
|---|---|---|---|---|---|---|---|
n (%) | n (%) | n (%) | n (%) | n (%) | |||
Replace healthcare providers | DA/SD | 211 (32.9) | 110 (48.5) | 31 (28.7) | 23 (22.1) | 47 (23.2) | < 0.001 |
N | 201 (31.3) | 58 (25.6) | 34 (31.5) | 17 (16.3) | 92 (45.3) | ||
A/SA | 230 (35.8) | 59 (26) | 43 (39.8) | 64 (61.5) | 64 (31.5) | ||
Reduce demand for human employees* | DA/SD | 70 (10.9) | 31 (13.7) | 11 (10.2) | 9 (8.7) | 19 (9.4) | < 0.001 |
N | 191 (29.8) | 55 (24.2) | 20 (18.5) | 30 (28.8) | 86 (42.4) | ||
A/SA | 381 (59.3) | 141 (62.1) | 77 (71.3) | 65 (62.5) | 98 (48.3) | ||
Healthcare providers will continue to have full control of AI application | DA/SD | 34 (5.3) | 6 (2.6) | 5 (4.6) | 14 (13.5) | 9 (4.4) | < 0.001 |
N | 197 (30.7) | 52 (22.9) | 28 (25.9) | 28 (26.9) | 89 (43.8) | ||
A/SA | 411 (64) | 169 (74.4) | 75 (69.4) | 62 (59.6) | 105 (51.7) | ||
Health care professionals would find it challenging to learn AI* | DA/SD | 61 (9.5) | 26 (11.5) | 7 (6.5) | 13 (12.5) | 15 (7.4) | 0.005 |
N | 230 (35.8) | 88 (38.8) | 24 (22.2) | 29 (27.9) | 89 (43.8) | ||
A/SA | 35 1 (54.7) | 113 (49.8) | 77 (71.3) | 62 (59.6) | 99 (48.8) |