Greetings and best wishes for 2010! What a busy year-end it’s been–and what a great year! 2009 was certainly an exceptional year, and not just in bad ways.
I’ll write more about that later, but for today, I’d like to show you a quick case.
Take a look at the following PIE Graph:
What do you think?
Honestly, if someone showed me this PIE without any other information, I’d think, “Hmm. Score is just a bit low, but really not too bad, and only 3 imbalanced meridians.” Is that something like what you thought as well?
Now let me tell you the rest of the story. This is the graph of a 61 year old female with type 2 diabetes, hypertension, morbid obesity, peripheral neuropathy, and a multitude of health problems. She is barely able to stand and walk. She has a 50+ pack year smoking history.
Now what do you think of that PIE score?
This is obviously a very sick woman, but she still managed to look pretty good on paper. What went wrong?
To answer that question, you’ll need to see her baseline graph.
So scroll down.
A bit more.
Here it is:
Notice anything in particular?
I’ll tell you what struck me right away: This is easily the lowest overall graph I’ve ever seen. Her mean is just 15. Her Chi is so low, it barely registers at all.
Her Chi is so low, in fact, that determination of splits, excesses, and deficiencies is nearly impossible, and most meridians, though barely functional, show as green. This, in turn, makes the PIE score look better than it otherwise would.
This brings me to the point of today’s entry: There are certain, rare situations where a person can be so sick, they fall outside the realm of what the computer can even interpret. Clearly, this patient needs help, and fast, and clearly we would all provide that help if she were our patient, regardless of how the PIE score looks.
Now I’m not saying she should have the ambulance on speed dial…but then again it wouldn’t be a bad idea either.
So the lesson here is that no computer will ever replace your intelligence and ability to reason. The PIE model, while very robust and useful, is still just a tool to enhance your own abilities, not to replace them, and certain patients can fall outside its parameters.
Not to worry, though. Probably 99% of the patients you’ll see will fall comfortably in the realm of PIE score reliability, and everything will match up and look as you expect. But just in case you run into one of the outliers, now you’ll know.
By the way, the practitioner who sent me this graph also performed a heart rate variability study on this patient at the same time.
It suggested an ambulance should be called – No Chi is no chi.
MANY THANKS to the AcuGraph user who sent this informative case! Do you have one to share? Send it in! email@example.com
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