Further information on eICAT

 

Details
The complete system consists of a Palm handheld computer with a data collection program that synchronises with a customised relational database. The database has six modules allowing for data collection and analysis of:

With this information at your fingertips, informed decisions can be made quickly and accurately to resolve important infection control problems.

 

System Requirements
Computer Hardware

Computer Software:

Electronic Data Collection

Note: Data collection can be performed manually or electronically. A hand held computer system is only required if you desire electronic data input.

 

Statistics
When data are collected promptly and analysed immediately, significant changes may be identified more quickly than when such analysis is not performed. Without analysis data collection becomes a wasted effort and the validity and reproducibility of the data collected soon deteriorate. Feedback loops are essential for process improvement.

EpiHosp Calculator is incorporated into and will allow you to distil the surveillance data collected by modules (surgical site surveillance, bacteraemia and significant organisms) into the appropriate charts to suit the data. It will also perform statistical tests to determine the significance of that data.

EpiHosp includes 26 statistical analytical methods and can produce many relevant process control charts including:

Methods for Hospital Epidemiology Quality Improvement Using R (plus Microsoft Excel Macros)
“Methods for Hospital Epidemiology Quality Improvement Using R (plus Microsoft Excel Macros)” has been produced to accompany the eICAT database program and EpiHospStats. Download this here. This is in PDF format for which you'll need the (free) Acrobat Reader correctly installed to view.

Reports, Graphs and Charts
As well as the CUSUM, EWMA and Shewhart charts that EpiHosp produces, uses Seagate Crystal Reports to generate reports for different medical and surgical specialties, complete with relevant graphs. These reports and graphs are produced using each patient's calculated risk index (according to their individual risk factors and the procedure undertaken) and provides overall upper and lower confidence intervals with the associated p-values.

also boasts unique post-discharge surveillance features: at 28 days post-procedure (and again at 12 months for patients with implants), can automatically generate a follow-up letter addressed to the individual patient. This letter may be customised to meet the needs of your surveillance strategy.

By using 's QA reporting feature you can identify missing data and duplicate entries. This ensures that the reports are as true and accurate as they can be.

HOME || INFORMATION || DOWNLOADS || CONTACT US