Generating Surveillance Data for Nosocomial Infections from Routine Charting in Intensive Care Units

被引：0

作者：

Michel-Backofen, Achim ^{[1
]}

Steinke, Dorothee ^{[2
]}

Katzer, Christian ^{[3
]}

Brenck, Florian ^{[3
]}

Boening, Andreas ^{[4
]}

机构：

[1] Univ Hosp Giessen & Marburg, Dept Clin & Adm Data Proc, Giessen, Germany

[2] Univ Hosp Giessen & Marburg, Inst Hosp Hyg, Giessen, Germany

[3] Univ Hosp Giessen & Marburg, Dept Anesthesiol Surg Intens Care Med & Pain Ther, Giessen, Germany

[4] Univ Hosp Giessen & Marburg, Dept Cardio Surg, Giessen, Germany

来源：

DIGITAL PERSONALIZED HEALTH AND MEDICINE | 2020年 / 270卷

关键词：

PDMS; hospital hygiene; nosocomial infections; infection surveillance;

D O I：

10.3233/SHTI200409

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

The University Hospital of Giessen and Marburg (UKGM), Giessen, Germany participates in a country wide nosocomial infections surveillance project on intensive care units (ICU) called KISS. KISS data must be gathered daily and is comprised of detailed clinical data like patient movements, ward utilization, presence of central venous and urinary catheters and types of artificial respiration. This happens for all of the 10 ICU's at UKGM Giessen and proved to be very tedious and time consuming for the institute for hospital hygiene. The goal of this project was the automated generation of the KISS reports from routinely collected data in the patient data management system (PDMS). The results show that this is largely feasible without changing the documentation habits of physicians and nurses.

引用

页码：1295 / 1296

页数：2