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Getting Juice From Health Analytics
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Juice analytics :)
  • 10/21/2013 10:50:49 PM
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It all has to do with the quality and consistency of the data going in to make a perfect juice. Incorrect data will yield results that may show up in the wrong juice being produced. 

Re: Welcome!
  • 10/7/2013 12:54:04 PM
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Great article Jason!  I'll never look at fruit the same again now.

Re: third last paragraph
  • 10/6/2013 10:52:18 AM
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Indeed analytics is good overally but then again the specifics of the fruit to be squeezed also make the difference. Even so, i hope that having a good analytics/BI system will allow the analyst to sieve out the useful from the useless at a reasonable cost.

Re: Welcome!
  • 10/5/2013 12:23:31 PM
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Thanks Beth, glad to be back and looking forward to Monday's radio show!  Agree with all of the wonderful comments on the post.  The discussion on the nature of the fruit I think is very appropriate.  The current focus on retrospective "quality metrics" is a case in point -- they provide value (as many descriptive statistics do), but in many ways they inhibit asking more sophisticated, powerful questions (which need to cover basic research, clinical trials, and healthcare delivery systems).  So much opportunity. :)

Re: Squeezing Juice
  • 10/4/2013 11:39:35 AM
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I agree with your comment Nick.  We bring lots of foggy information to the fore with Clinical Trials and other forms of medical research.  Yet it is accepted as evidence.  There is no silver bulit.  i do think that Analytics is a good investment and better than many forms of Medical Research. 

Squeezing The Fruit
  • 10/4/2013 9:44:42 AM
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Yep, getting the juice is the best way to go. But, make sure the right questions are asked and the data is relevant to the solutions. If you want orange juice don't try squeezing apples. And if orange juice seems to come out of apples, there's something grossly wrong with the process.

Re: third last paragraph
  • 10/4/2013 7:01:57 AM
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Building that system to actually produce some productive juice is going to be a problem. If it can produce an even better fruit with a bigger yield then it is great. But what if the whole fruit was made with the wrong genetic engineering model? In other words have they asked the right questions and used the right fertilizer?

Re: Welcome!
  • 10/3/2013 4:14:38 PM
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I agree. It all has to do with the quality and consistency of the data going in. If we can work with good data, we can make good jiuce. Bad data will yiled something else.

third last paragraph
  • 10/3/2013 12:43:00 PM
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That is where you find the 'stuff' I was thinking of when I read this.  Some systems, and I've seen dozens, are just poorly designed.  The squeeze becomes growing a new piece of fruit. (I love this squeezy juicy analogy).   

Then you present your new juice and and know one knows what it is.  What about that?  Maybe I've taken this too far.  I guess if you re-built the system properly, you just grab a new piece of fruit right?  for just a little squeezing.

Re: Welcome!
  • 10/3/2013 12:41:41 PM
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Jeff, right, it is in a lot of ways one big, stinky, sticky mess. That's one of the reasons I'm really looking forward to having Jason on air with us Monday, for his insider's perspective on how to make it better.

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