Dear Sam,

Some of your comments with respect to handling the discrete data are tackled in 
the HL7 Care Record message. This has with respect to the CDA level 3 content 
the same structure. My hypothesis is that a lot of the problems you mention can 
be tackled by focusing on the Care Record part of HL7 as addition to CDA.  



Vriendelijke groet,

William Goossen
directeur Results 4 Care



-----Original Message-----
From: Sam Heard <[email protected]>
To: 'For openEHR technical discussions' <openehr-technical at openehr.org>
Sent: Tue, Jan 4, 2011 10:06 pm
Subject: Clinical Documents, openEHR, 13606, CDA and CCR



Dear All
 
Thomas has raised the issue of an openEHR Clinical Document off line. The key 
point is that there are some issues for openEHR and HL7 that require aligning 
a) the CDA documents that flow around the system with b) EHR systems and 
openEHR. Most existing systems will bring CDAs in as documents and treat them 
pretty much like letters (text and PDF) ? with smarter systems getting any 
structured information and offering to incorporate this data into the system.
 
CDA is a step forward conceptually and is used more and more as the basis for 
communication. There are still a number of issues that need to be addressed and 
also opportunities for openEHR to provide solutions.
 
1.      Will the data be structured consistently enough for safe processing by 
receiving systems? This remains uncertain except in highly controlled 
environments. The problem is that there are limited tools to assess the 
correctness of data which is largely specified in implementation guides. 
openEHR archetypes and templates can provide schemas through a formal process 
that will allow validation of data and also specific transforms to and from CDA 
(on a per archetype basis). This may improve utility, data quality and 
consistency of representation across different CDA documents.
2.      CDA documents contain document management information. This is not 
sufficiently complex to allow exchange of information - it requires serial 
output from a single source. Such a scheme is appropriate for lab results and 
other one-way feeds but not for sharing a health summary or other key 
persistent data. The openEHR specifications are much more attuned to 
requirements for health summaries including medication lists, past history, 
obstetric management, operation planning, care plans etc. We need to work with 
others to make sure the difference between a collection of documents and an EHR 
is well understood.
3.      CDA documents have participations that are fully populated. This 
includes identifying information about the client which would not usually be 
included in data in an EHR. This has implications for anonymisation. The EHR is 
the environment where identifying information needs to be managed and it seems 
unlikely that documents that are shared will contain overtly identifying data 
for many transactions in the future. Shared EHR repositories seem like a better 
and safer approach but again, we need to look at the requirements and 
understand the advantages of different approaches. The limited ability to 
populate other participations (at the composition and entry level) with 
structured data is an issue in openEHR where demographic data will not be 
shared between systems and probably should be put forward as a change request 
to allow data about doctors and other people to be shared without a transfer of 
demographic data. The CCR has an intermediate approach which may be better than 
the CDA approach as it allows multiple use of the same personID at different 
points in the same document/composition.
4.      Unstructured HTML or PDF or text is a feature of many health record 
documents. OpenEHR has a datatype that allows for storage of this sort of data. 
At present it is not related to the DV_TEXT and so it is not possible to have 
formatted text as a text field. There is also a PARAGRAPH type that is a 
mixture of formatted and DV_TEXT. Natural language processing is attempting to 
turn clinical records into post-coordinated SNOMED codes. This is interesting 
work and some form of this approach is likely to be helpful in the future. I do 
not think openEHR or CDA are well suited to meet these requirements where 
natural language (and formatted) text is mixed in with structured data that can 
be processed. CDA runs the two in parallel while openEHR forces explicit 
structure where required. The openEHR approach is undoubtedly safer but it is 
worth considering the best approach to meet these needs.
5.      Archetypes assume the openEHR reference model. In the current tools 
this is somewhat problematic as designers have to know a little about the 
reference model ? but it is also the most important feature as consistency is 
critical for safe computing. Mistakes were made early on in not assuming the 
reference model features and being explicit about some features when there was 
actually no constraint. We have learned about this and the next round of 
tooling will need make it easier for designers and not create constraints where 
none are required.
 
The main opportunity for which everyone will be grateful is if we can use 
openEHR archetypes to create consistent CDA and provide the transforms required 
to move seamlessly from CDA to openEHR and back. This provides a single source 
of truth and is what many people are seeking. What we need to take this further 
is:
 
1.      A standard transformation of a template of an openEHR Composition to 
HL7 CDA ? converting EHR attributes to CDA attributes ? that does not require 
explicit modelling of data that is already captured in the openEHR RM. The 
transformation may require renaming of openEHR RM attributes that are specific 
for that the template as CDA documents may have different labels that are the 
same thing in an EHR system (e.g. a prescription may have a ?prescriber? 
whereas a document may have an ?author? where both are the legal creator of the 
document).
2.      An archetype to CDA transform (and back) that labels the CDA data in a 
way that it is clear which archetype this CDA data conforms to. This is needed 
for each archetype and should be available on CKM.
 
The openEHR RM should also consider adding a CLUSTER to participation to allow 
structured data or include participation data in the composition. 
Other_participations may be the location for this with IDs that are referenced 
within the composition ? but this is not the planned use and will need some 
consideration. Some may argue that this should be from the demographic model 
but I do not think so.
 
Thoughts?
 
Cheers, Sam Heard
 

 
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