Statistical Process Control for Healthcare
Statistical Process Control (SPC) is one of the most useful tools available for improving quality, safety and operational performance in healthcare – yet it remains underused and often misunderstood.
SPC methodology provides a philosophy and framework for data-driven quality improvement. SPC involves the plotting of data over time to detect unusual patterns or variations that might indicate a change or a problem with a (clinical) process or outcome.
To master SPC, it is essential to first understand the underlying theory of variation. Next, proficiency in using software to construct SPC charts is key. We support both needs.
At spc4hc.org you will find resources including a free, practical web book, open source R packages, curated papers, and a list of upcoming online workshops for newbies and knowbies, and everyone in between.
Help wanted
We are currently looking for volunteer(s) to:
- set up, administer, and moderate an online discussion forum
- set up an online platform for workshops and webinars
In both cases we are committed to using free, open-source software.
If either is you, send us an email at info@