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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