
|
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:
staff health
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.
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