Table 1.
Summary of the dataset used in this study
| Characteristic | Distribution | |
|---|---|---|
| Age at admission | 35.2, 54.3, 68.6 | 52.9 ± 19.5 |
| Race | ||
| White | 78.1% | 20 536 |
| Black | 15.5% | 4066 |
| Asian | 1.8% | 473 |
| American Indian or Alaska Native | 0.17% | 45 |
| Others | 4.42% | 1163 |
| Gender | ||
| Male | 45.0% | 11 838 |
| Female | 55.0% | 14 445 |
| Insurance type | ||
| Commercial | 42.1% | 11 074 |
| Medicare/Medicaid | 51.2% | 13 460 |
| None | 6.7% | 1749 |
| User-EHR interactions | ||
| Total number of interactions before discharge | 118, 215, 457 | 331.0 ± 313.5 |
| Number of unique interactions before discharge | 32, 49, 82 | 59.5 ± 38.7 |
| Unique Phecodes before admission | 7, 18, 39 | 30.0 ± 35.6 |
| Most frequent discharge units | ||
| Postpartum | 12.6% | 3324 |
| Cardiac stepdown | 6.4% | 1675 |
| Neuroscience | 4.8% | 1259 |
| Transplant and surgery | 4.6% | 1212 |
| Spine | 3.9% | 1016 |
| Urology | 3.8% | 998 |
| Medicine cardiac stepdown | 3.7% | 977 |
| Surgical stepdown | 3.7% | 973 |
| Length of stay (days) | 2.3, 3.7, 6.0 | 5.6 ± 6.4 |
| Discharge time | ||
| 8 pm—8 am | 2.5% | 665 |
| 8 am—2 pm | 52.5% | 13 796 |
| 2 pm—8 pm | 45.0% | 11 822 |
| Discharge day of week | ||
| Monday | 14.3% | 3766 |
| Tuesday | 15.5% | 4081 |
| Wednesday | 15.8% | 4163 |
| Thursday | 15.6% | 4108 |
| Friday | 18.0% | 4728 |
| Saturday | 11.5% | 3025 |
| Sunday | 9.2% | 2412 |
represent the first quartile, median, and third quartile. ± represents the mean and 1 standard deviation. represents that the percentage of patients (in a given category) is among all patients.
EHR: electronic health record.