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. 2024 Feb 20;15:149–151. doi: 10.1016/j.jdin.2024.02.009

Table I.

Impact of DAX on clinician productivity and note characteristics

All users
Low utilizers (<50%)
High utilizers (>70%)
Mean (SD)
Mean (SD)
P Mean (SD)
Mean (SD)
P Mean (SD)
Mean (SD)
P
Before DAX, n = 12 Using DAX n = 10 Before DAX, n = 8 Using DAX, n = 8 Before DAX, n = 2 Using DAX, n = 2
Appointments per month 169.1 (35.4) 168.6 (23.9) .35 157.3 (32.8) 147.0 (19.9) .34 222.1 (46.3) 204.4 (36.9) .12
Time in notes per day (min) 54.6 (7.4) 42.2 (5.1) .003 47.7 (6.3) 32.9 (3.6) .002 86.7 (8.4) 66.4 (8.7) <.001
Time in notes per appointment (min) 6.5 (1.2) 5.1 (0.8) <.001 6.5 (1.3) 4.8 (0.8) <.001 8.0 (0.9) 6.7 (0.9) .01
Time outside 7 am-5:30 pm in EMR per day (min) 35.5 (14.7) 28.1 (8.9) .005 39.4 (15.7) 35.2 (9.3) .001 14.6 (7.1) 14.8 (10.5) .49
Note length (characters) 4412 (350) 4617 (444) .03 4713 (334) 4892 (546) .03 4826 (146) 4780 (259) .42
Provider note contribution (%) 96.7 (4.6) 51.7 (7.4) <.001 96.8 (5.2) 43.2 (6.9) <.001 100.0 (0) 58.6 (11.2) <.001

SD, Standard Deviation.

Assessed using the Independent Samples T-Test.

P < .05.