Hi Team,
Sorry for the delay....the minutes and link to meeting recording for the
May 26th meeting of the standard sub-team of the PDDI Info Model Task
Force are pasted below.
Kind regards, -R
Minutes for 5/26/2016 (Standard subgroup)
In Attendance: Asiyah Yu Lin, Brian LeBaron, Oya Beyan, Jodi Schneider,
Xia Jing, Michael Miller, Maria Herrero, Michel Dumontier, Oliver He,
Daniela Oliveira, Ratnesh Sahay, Richard Boyce, Louisa Zhang, Elizabeth
Garcia
Meeting recording: http://goo.gl/Nv1Y6l
Meeting:
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Introductions
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Update from the Content sub-team meeting
o
Selecting drugs: Goal is to choose interesting drugs that will
be the focus of developing decision trees
o
Connecting clinical consequences, evidence, etc.
o
More than halfway done in terms of information categories
o
Information category discussion: importance in identifying gaps
in knowledge
+
Frequency of exposure, adverse events: needs clarification
+
Mechanism not known: discussion about relevance
o
Some decision trees have been created
o
Will also be getting engaged with stakeholder descriptions
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Discussing progress on stakeholder descriptions
o
Drug Compendium Editor
+
Discussion: ”editor” or “editorial process” is fitting, but
multiple different roles are present
+
Diversity of potential user stories; e.g., clinical experts,
medical librarians, people who do the publishing/design end,
knowledge engineering and database and structuring end
o
Action Items
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Instead of Drug Compendium Editor: rename to “Drug
Information Editorial Board”
+
Add a user story about search from the perspective of a
Librarian: focusing on synthesis of information
+
Add a user story about Clinical Knowledge Engineer: bridge
between the clinical information and how that gets represented
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User-Centered Definitions
o
“Clinical consequences” Qualtrics sent out
o
Comments under review; follow-up pending
*
Scope of Ontology Development and Related Efforts
o
Oya and Michael discussed minimum information model including
MIAME and what has been done in other domains
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MIAME <http://fged.org/projects/miame/>and mimics are
minimum information models;MAGE-ML
<https://db.systemsbiology.net/projects/external/mage/>
#
Minimal model of what’s required to be in the document,
without specifying what needs to be in the model
#
1 – what you must include (in English)
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Using the MAGE object model (XML DTD), someone could
include all of the information needed
#
2 – providing a way of actually encoding and exchanging it
*
Java and PURL could take the information and
represent it
o
W3C interest note
<http://dbmi-icode-01.dbmi.pitt.edu/dikb-evidence/w3c-ddi/index.html>as
PDDI’s corollary to MIAME, describing the elements of the model
+
Introductory document with user stories, clinical descriptions
+
The clinical definitions may change as we go through the process
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Creating deliverables – object model that makes it clear how
to include the concept set of what to capture about drugs
#
W3C note as more human-readable description
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Knowledge Representation Core Considerations:
#
Participation from sub-group (Matthias, Michal, Oya)
#
Organizing into a document form that will be how we
build things moving forward
o
Balancing the need for vocabularies/ontologies with the use of
free text
+
Model may be used by developers who develop clinical
decision support systems; requirements for natural language
processing if free text is used
+
Meetings so far have developed scope and definitions,
evolving toward schema development
o
Computable components of info model
+
Essential elements = 8 categories, more or less
#
User-centered definitions, ontology definitions
#
Do not want to restrict the way that drug concepts and
health info concepts are represented
#
Just need to code a drug (clinical drug level, or
ingredient level, with formulation, rather than just at
class level)
#
No current opportunity to structure alerts this way
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Next Steps
o
Qualtrics survey: Clinical roles stakeholder descriptions and
user stories
+
Will be sent before Memorial Day weekend
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1-2 more surveys before the next Standards sub-team meeting
o
Discuss Asiyah’s email to the group
o
Knowledge Representation Core Considerations (Matthias, Oya,
Michael)
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Oya and Michael will work on edits
o
All team meeting
+
Use case: Medication reconciliation (another team)
+
Will proceed to schedule and see if we can coordinate with them
--
Richard D Boyce, PhD
Assistant Professor of Biomedical Informatics
Faculty, Center for Pharmaceutical Policy and Prescribing
Faculty, Geriatric Pharmaceutical Outcomes and Gero-Informatics Research and Training Program
University of Pittsburgh
rdb20@pitt.edu
Office: 412-648-9219
Twitter: @bhaapgh