Table 2. Factors relating to the hospital setting that can affect the cost impact of medication errors during admixture preparation process.
| Model input | Average value (range) | No. of observations | References |
| Daily census | 153 (18.6-400) | 8 | 14,15,41,51,63 |
| Doses per patient day | 0.94 (0.171-1.942) | 11 | 16,39-42,48,50,51 |
| Share re-constituted | 53.3% (40%-60%) | 3 | a, b |
| Percent of errors that increase length of stay | 1.63% (0.1%-3.9%) | 19 | 14,39,41,46,47,50,52,54,57,58,64 |
| Length of stay increase, days | 3.17 (1.74-5.4) | 7 | 14-18 |
| Percent of errors this technology can prevent | 97.5% (95%-100%) | 2 | 13,21,22 |
| Daily hospital cost | $1,355 ($389-$1,910) | 13 | 14-18 |
Note: Values were used as inputs to the cost simulation model to estimate costs.
a
Personal communication, Alex Reinhardt, Marketing Director, Intelligent Hospital Systems, June 2013.
b
Personal communication, Craig Boyce, Pharmacists, Intelligent Hospital Systems, June 2013.