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. 2018 Jul 5:2018:5419313.
doi: 10.1155/2018/5419313. eCollection 2018.

WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI

Amin Y Noaman  1 , Abdul Hamid M Ragab  2 , Nabeela Al-Abdullah  3 , Arwa Jamjoom  2 , Farrukh Nadeem  2 , Anser G Ali  2
Affiliations

WMSS: A Web-Based Multitiered Surveillance System for Predicting CLABSI

Amin Y Noaman et al. Biomed Res Int. .

Abstract

Central-line-associated bloodstream infection (CLABSI) rates are a key quality metric for comparing hospital quality and safety. Manual surveillance systems for CLABSIs are time-consuming and often limited to intensive care units (ICUs). A computer-automated method of CLABSI detection can improve the validity of surveillance. A new web-based, multitiered surveillance system for predicting and reducing CLABSI is proposed. The system has the capability to collect patient-related data from hospital databases and hence predict the patient infection automatically based on knowledge discovery rules and CLABSI decision standard algorithms. In addition, the system has a built-in simulator for generating patients' data records, when needed, offering the capability to train nurses and medical staff for enhancing their qualifications. Applying the proposed system, both CLABSI rates and patient treatment costs can be reduced significantly. The system has many benefits, among which there is the following: it is a web-based system that can collect real patients' data from many IT resources using iPhone, iPad, laptops, Internet, scanners, and hospital databases. These facilities help to collect patients' actual data quickly and safely in electronic format and hence predict CLABSI efficiently. Automation of the patients' data diagnosis process helps in reducing CLABSI detection times. The system is multimedia-based; it uses text, colors, and graphics to enhance patient healthcare report generation and charts. It helps healthcare decision makers to review and approve policies and surveillance plans to reduce and prevent CLABSI.

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Figures

Figure 1
Figure 1
The system hardware web components developed.
Figure 2
Figure 2
The proposed WMSS-CLABSI system software components.
Figure 3
Figure 3
The standard CLABSI algorithm adapted from [5, 6].
Figure 4
Figure 4
A sample of a simulator generated patient record.
Figure 5
Figure 5
Patient information data entry form.
Figure 6
Figure 6
Patient event details data entry form.
Figure 7
Figure 7
Sample of patient record details and predictors information.
Figure 8
Figure 8
A sample of the generated prediction summary report.
Figure 9
Figure 9
Figure 10
Figure 10
See this image and copyright information in PMC

References

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