Implementation and impact of a business intelligence system on catheter-related bloodstream infections: a multicenter experience
Po-Yen Huang, Chien-long Shih, Yun-Ting Chung, Ming-Wei Lin, Shian-Sen Shie, Ching-Tai Huang · 2025
Read Implementation and impact of a business intelligence system on catheter-related bloodstream infections: a multicenter experience by Po-Yen Huang, Chien-long Shih, Yun-Ting Chung, Ming-Wei Lin, Shian-Sen Shie, Ching-Tai Huang (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12771846.txt.
Description
Po-Yen Huang and five co-authors describe a hospital data system built to catch bloodstream infections from central lines earlier, in a 2025 paper. These infections raise deaths and costs, and they can be hard to spot in time. The system scans records for warning signs such as fever, high white cell counts, raised inflammation markers, and lines left in for long periods.
From July 2022, infection specialists reviewed the flagged cases and advised on whether lines should be reassessed. The study covers 5,090 patients across several hospitals from 2019 to 2024. Overall infection trends did not change significantly, but in intensive care units the trend fell after the system started, while ward results and line duration showed weaker effects.
Catalog record
| CREATOR | Po-Yen Huang, Chien-long Shih, Yun-Ting Chung, Ming-Wei Lin, Shian-Sen Shie, Ching-Tai Huang |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 24 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |