A Laboratory Automation System (LAS) was implemented in E-Da hospital since 29 March 2011. We chose every result-reported data of all determination items instead of single item. We collected 1,826,444 reported data on laboratory turnaround time (TAT) from E-Da hospital during both pre- (July 2010 to March 2011) and post-LAS (April to December 2011). All data were classed with months and 18 TAT means were calculated. A Two-Factor analysis of variance was applied to the means and we found a significant difference, from 88.8 min. to 74.4 min., between pre- and post-LAS under a 95% confidence level. This showed a result of TAT improvement of 14.4 min. (16.2%) after LAS implemented. The data were seperated into Stat or Routine sets after classed with months, and means of each set of data were calculated. The result of Two-Factor analyses of variance on the separated Stat or Routine sets revealed that the Stat TAT did not change significantly (P=.05) and the Routine TAT, as a result of improvement of 29.0 min. (21.3%), did. This showed an improvement of Routine TAT contributes to the improvement of TAT. The former conclusion could be demostrated that Routine TAT correlated best with the TAT (r2=0.99, P=.05) and Stat TAT correlated poor with the TAT (r2=0.36, P=.05). As to 90% TAT analysis, it seemes that an improvement from 14.4 min. to 10.8 min. (16.2% to 15.3%) will be underestimated if 90% TAT was sifted from original TAT and analyzed. And a TAT Outlier analysis, tail size, seems to improve better, reduced 47 min. (18.5%), than 90% TAT analysis. We suggest a total TAT analysis instead of 90% TAT or Outlier ones. Both Clinical Chemistry (CC) and Immune Assay (IA) TAT did change significantly (P=.05), as a result of improvement of 13.7 min. (16.1%) and 18.2 min. (14.7%) each other, when the data were seperated into CC or IA sets. This showed an improvement of TAT after automation was contributed by both the improvement of CC and IA TAT. It could be also demostrated by the best correlation relationship of CC and IA TAT with the TAT (r2=1.00 and 0.96, P=.05). We also found fewer laboratory errors after automation and this result consisted with staff satisfacation. In other words, the staff of the hospital were much satisfied with LAS when a fewer laboratory errors was found from the reports.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0626112-200800 |
| Date | 26 June 2012 |
| Creators | Lin, Hui-chuan |
| Contributors | Jennifer Yeh, Ying-Ying Lo, Ying-Chun Lee |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0626112-200800 |
| Rights | user_define, Copyright information available at source archive |
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