Machine Learning , some thoughts

Colin Sutton Colin.Sutton at ctc.usyd.edu.au
Mon Jun 25 14:22:59 EDT 2018


Pattern recognition could be done with AI systems using a large selection of health records, to suggest new, possibly unexpected archetypes, but not yet.
As commented earlier, data are not sufficiently recorded yet, specialists are too busy;  responsibilities are left undefined as patients move from one hospital department to another;  discharge records written by subordinates are incomplete summaries of partial records.
I can only hope that better systems will be developed to reduce the workload of recording  the complexity of patient progression.
Then the production of archetypes could be semi-automated: clinical review will still be necessary.
--
Colin

From: openEHR-clinical <openehr-clinical-bounces at lists.openehr.org> On Behalf Of GF
Sent: Tuesday, 26 June 2018 1:48 AM
To: For openEHR clinical discussions <openehr-clinical at lists.openehr.org>
Subject: Re: Machine Learning , some thoughts

One needs patters that document the documentation process in general for Medical Statements, Evaluations, Orders, Actions
Patterns to Collect Complaints
Patterns to Collect Observations by tractus
Patterns to collect complaint specific  data
Patterns to collect Diagnosis specific data
Patterns to collect data for ordering of procedures (diagnostic, treatment)


Gerard   Freriks
+31 620347088
  gfrer at luna.nl<mailto:gfrer at luna.nl>

Kattensingel  20
2801 CA Gouda
the Netherlands


On 25 Jun 2018, at 16:51, Anastasiou A. <a.anastasiou at swansea.ac.uk<mailto:a.anastasiou at swansea.ac.uk>> wrote:

Hello Bert and all


I wonder if besides that approach an approach of archetypes growing in the wild could be of use. They could be used beside the predefined archetypes.

I don't think that enabling people to create local fragmented subsets of information is a step in the right direction. We still
need the functionality of the CKM, in the same way that you need consensus in an open source project. You need to file
issues, that are reproducible and reasonable and someone takes responsibility for dealing with them and there is a cycle
of "refreshing" the current best knowledge and so on.

I am hoping that somewhere, some junior doctors are taking up projects in defining Archetypes and Templates and buddy up
with their friends who joined Computer Science instead and they all become a tribe too.

They could be working on "Archetypes & Templates for Secondary Uses of Routinely Collected Data" and that could be a lab for development of new things
away from "practice".


As a side comment: I think that you are also speaking from different experiences. There is still some way to go in the transition to an electronic HER that would
enable all this. Maybe things are progressing faster where you are (?)

All the best
Athanasios Anastasiou




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