Biovarase has been updated to version 2.8
Biovarase is an application to manage clinical quality control data.
The purpose of Quality Control Assurance in a clinical laboratory is to allow
the control of the performances of an analytical procedure showing an alarm as
soon as the trial doesn't result in the degree to respect the defined
analytical rules. Biovarase furthermore calculates the classical statistical
parameters for the quality control assurance ,e.g. sd, cv%, avg, and even the
Imp(%), Bias(%) and TEa (total allowable error) using data retrived from:
Current databases on biologic variation: pros, cons and progress Scand J Clin
Lab Invest 1999;59:491-500. updated with the most recent specifications made
available in 2014.
It uses even the famous Westgard's rules to monitor results dataset.
All the data are managed by SQLite database and matplotlib.
Biovarase requires
Python =>3.5
tkinter
matplotlib
xlwt
last changelog
2018-11-24
Change the redrew mechanism, now Biovarase doesn't rebuild the graph from
scratch when you select a batch, but update only the data.
Add Quick Data Analysis function on the menu to analyze the last dataset for
every test and relative bacth.
Add histogram to plot frequency distribution of a dataset.
Some minor refactoring on main.py code.
We deserve an updating to version 2.8. ;)
All source code on
https://github.com/1966bc/Biovarase
thank you for reading.
regards
beppe
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