Table 1.
Illustrations of alternative types of data preprocessing filters applied to different types of clinical measurements
| Item | Date group/type | Data type/nature | Derived-data aggregation method |
|---|---|---|---|
| 1 | Biographical | Static/single | As is |
| 2 | Daily vital data | Time series (daily) | Min, max, mean |
| 3 | Braden (4 metrics) | Time series | min, max for each |
| 4 | Location/units | Unit names and dates | LOS for each location |
| 5 | Periop | Time series | avg, absolute min, absolute max |
| 6 | Surgical related data | ||
| Anesthesia duration | Time series (minutely) | Total duration | |
| Procedure room stay | Time series (minutely) | Total duration | |
| Surgical schedule? | Categorical | As is? | |
| Surgical service? | Categorical | As is? | |
| 7 | Staffing data | Time series | Mean (RN HPPD and Total HPPD) |
| 8 | ASA data (severity of illness) | Time series | Min, max, mean, SD |
*American Society of Anesthesiologists (ASA)