Table 3.
RL–glycemia | |||
Encounters for which the algorithm’s recommendation differed from the observed clinician's prescription [n (%)] | 15,578 (13.9) | ||
RL–glycemia | Clinician's prescription | p-Value | |
A1c [mean (SE)] | 7.80 (0.01) | 8.09 (0.01) | < 0.001 |
A1c >8% [n (%)] | 5421 (34.8) | 6617 (42.5) | < 0.001 |
RL–BP | |||
Encounters for which the algorithm’s recommendation differed from the observed clinician's prescription [n (%)] | 20,251 (17.1) | ||
RL–BP | Clinician's prescription | p-Value | |
SBP [mean (SE)] | 131.77 (0.06) | 132.35 (0.11) | < 0.001 |
SBP >140 mmHg [n (%)] | 3256 (16.1) | 5390 (26.6) | < 0.001 |
RL–CVD | |||
Encounters for which the algorithm’s recommendation differed from observed clinician's prescription (N(%)) | 946 (1.6) | ||
R–CVD | Clinician's prescription | p-Value | |
FHS [mean (SE)] | 13.65 (0.26) | 17.18 (0.36) | < 0.001 |
FHS >20% [n (%)] | 237 (25.1) | 299 (31.6) | < 0.001 |
RL–multimorbidity | |||
Encounters for which the algorithm’s recommendation differed from the observed clinician's prescription [n (%)] | 102,184 (28.9) | ||
RL–multimorbidity | Clinician's prescription | p-Value | |
A1c [mean (SE)] | 7.14 (0.003) | 7.19 (0.005) | < 0.001 |
A1c >8% [n (%)] | 16,436 (16.08) | 20,879 (20.43) | < 0.001 |
SBP [mean (SE)] | 129.40 (0.03) | 129.58 (0.05) | < 0.001 |
SBP >140 mmHg [n (%)] | 9800 (9.59) | 20,957 (20.51) | < 0.001 |
FHS [mean (SE)] | 21.89 (0.04) | 25.61 (0.05) | < 0.001 |
FHS >20% [n (%)] | 48,283 (47.3) | 55,957 (54.8) | < 0.001 |
RL reinforcement learning, CVD cardiovascular disease, SE standard error, BP blood pressure, SBP systolic blood pressure