Hi Dan,

To get clean and precise definition of these diseases we do ourselves a 
disservice by not including supporting modifiers. Though it is possible that 
the ALS arm does not need dx modifiers, there was extensive discussion 
specifically in regard to breast cancer of the utility of using PHM (in 
particular), which is one of the modifiers that are part of the list below.

I don't see this as a substantial hurdle to data folks at our sites, many of 
whom seem to have a working knowledge of what data are available.

Aaron

Aaron Miller, PhD | Analytics Informatician, Interim Research Analytics Manager 
| MCRF - BIRC | (715) 221-6429
From: Dan Connolly [mailto:[email protected]]
Sent: Wednesday, February 26, 2014 3:54 PM
To: Miller, Aaron W; [email protected]
Subject: RE: modifier proposal from hackathon

In my experience, the 
YouArentGonnaNeedIt<http://c2.com/cgi/wiki?YouArentGonnaNeedIt> works well:

    Always implement things when you actually need them, never when you just 
foresee that you need them.

The wiki page goes on to explain how adding them at a later date will not delay 
acquisition of high-quality datasets.

We have to characterize ALS, breast cancer, and obesity cohorts. As to anything 
beyond that, I'm not inclined to track design issues until requirements that 
motivate them arise.

>From the ALS break-out of the 
>hackathon<http://informatics.gpcnetwork.org/trac/Project/wiki/HackathonOne> in 
>particular, it seems we don't need modifiers for ALS diagnosis:



*         modifiers: billing? clinical? doesn't matter.

*         is past medical history too much?

o    no

*         is past medical history required?

              *   no


--
Dan

________________________________
From: Miller, Aaron W [[email protected]]
Sent: Wednesday, February 26, 2014 2:31 PM
To: Dan Connolly; [email protected]<mailto:[email protected]>
Subject: RE: modifier proposal from hackathon
Hi Dan,

I am not aware that there are any research questions that have been stated 
explicitly. The emphasis of the data group has been to try to be prepared to 
answer a broad range of questions, and that is why these modifiers were 
identified. If you can point to representative (and broad) list of research 
questions that need to be answered, then we can trim this list down. Otherwise, 
I would suggest that we pursue intelligent ways to incorporate these types of 
data, as adding them at a later date will delay acquisition of high-quality 
datasets.

Aaron

Aaron Miller, PhD | Analytics Informatician, Interim Research Analytics Manager 
| MCRF - BIRC | (715) 221-6429
From: Dan Connolly [mailto:[email protected]]
Sent: Wednesday, February 26, 2014 2:20 PM
To: Miller, Aaron W; [email protected]<mailto:[email protected]>
Subject: RE: modifier proposal from hackathon

So we're not yet aware of any such research questions?

Then email discussion is fine... it's interesting stuff... but this design 
discussion isn't on our critical path, so I don't need to track it with a 
ticket or put it on group teleconference agendas.

--
Dan
________________________________
From: Greater Plains Collaborative Software Development 
[[email protected]] on behalf of Miller, Aaron W 
[[email protected]]
Sent: Wednesday, February 26, 2014 2:11 PM
To: [email protected]<mailto:[email protected]>
Subject: Re: modifier proposal from hackathon
Hi Dan,

This list is intended to continue our discussion of diagnosis modifiers. When 
specific sources or types of diagnoses are necessary to answer research 
questions, these will greatly enhance our ability to respond with precision.

Aaron

Aaron Miller, PhD | Analytics Informatician, Interim Research Analytics Manager 
| MCRF - BIRC | (715) 221-6429
From: Greater Plains Collaborative Software Development 
[mailto:[email protected]] On Behalf Of Dan Connolly
Sent: Wednesday, February 26, 2014 2:05 PM
To: [email protected]<mailto:[email protected]>
Subject: Re: modifier proposal from hackathon

I guess I missed the motivation for these modifiers. Which research questions 
benefit from these distinctions?

--
Dan
________________________________
From: Greater Plains Collaborative Software Development 
[[email protected]] on behalf of Wilson Nathan [[email protected]]
Sent: Wednesday, February 26, 2014 1:21 PM
To: [email protected]<mailto:[email protected]>
Subject: Re: modifier proposal from hackathon
All,

I talked over the billing section of the outline with one of our business 
planning folks who works with hospital account data and based on that 
conversation I would recommend the following adjustments to the billing 
diagnosis modifiers.

Original:
BILLING DX
                DISCHARGE DX PRINCIPAL
                DISCHARGE DX NONPRINCIPAL
                PROFESSIONAL DX PRIMARY
                PROFESSIONAL DX NONPRIMARY

Suggested:
BILLING DIAGNOSIS
                ADMIT DIAGNOSIS PRINCIPAL
                ADMIT DIAGNOSIS SECONDARY
                ADMIT DIAGNOSIS PRESENT ON ADMISSION
                DISCHARGE DIAGNOSIS PRINCIPAL
                DISCHARGE DIAGNOSIS SECONDARY

Reasons:
The main set of diagnosis found on the bill are discharge diagnosis (at least 
from a CLARITY perspective)
Non-principal diagnosis are collectively referred to as secondary
For admitting diagnosis it is important to know if it is/was present on 
admission


Does the group have any thoughts and/or other suggestions?

Nathan Wilson


From: Greater Plains Collaborative Software Development 
[mailto:[email protected]] On Behalf Of Dan Connolly
Sent: Tuesday, February 25, 2014 11:55 AM
To: [email protected]<mailto:[email protected]>
Subject: modifier proposal from hackathon

This was on the presentation machine at the hackathon.

I gather it's a proposed modifier hierarchy.

--
Dan
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