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(Created page with " <!-- LOOK FOR THE APPROPRIATE SECTION ****** TO ENTER INFORMATION--> Back to Allergy_&_Intolerance_Drug_Sub-project ==Minutes Template== ===Meeting Information=== {|bor...") |
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===Agenda=== | ===Agenda=== | ||
'''Agenda Topics''' <br/> | '''Agenda Topics''' <br/> | ||
− | # | + | # overview of Dutch system |
− | # | + | # overview of Cerner dataset |
− | |||
===Minutes=== | ===Minutes=== | ||
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'''Minutes/Conclusions Reached:'''<br/> | '''Minutes/Conclusions Reached:'''<br/> | ||
− | * | + | * Froukje Harkes-Idzinga gave an overview of the Dutch system (see [https://www.knmp.nl/producten-en-diensten/gebruiksrecht-g-standaard/informatie-over-de-g-standaard/the-g-standaard-the-medicines-standard-in-healthcare G-system]) |
− | * | + | ** [[Media:Presentatie.2016 HL7 allergy and intolerance drug sub-project ZONDER NOTITIES.ppt | File]] |
− | + | ** The system has concepts that seem to line up with RxNorm: Basic Substance to Ingredient & Substance to Precise Ingredient | |
− | * | + | ** The system provides (or will provide) scope for users to record "policy" for a sensitivity; i.e., whether they find the substance safe to administer in the future |
− | * | + | * Larry McKnight gave an overview of his work on the Cerner dataset |
− | * | + | ** ~40MM records |
− | * | + | ** SNOMED CT encodings clearly best for foods; pretty good for drugs, too, with some exceptions (esp. MIN) |
− | ** | + | ** Some discussion of splitting MIN records (e.g., Percocet). Proposal: record the MIN (what is known) and let the CDS engine determine which ingredients to check against. |
− | * | + | * Very brief look at [https://ginas.ncats.nih.gov/ginas/app G-SRS demo] |
− | * | + | ** as with other regulatory registries, this seems too specific, but as a metathesaurus it may be very useful. |
− | ** | ||
===Meeting Outcomes=== | ===Meeting Outcomes=== |
Latest revision as of 17:53, 2 November 2016
Back to Allergy_&_Intolerance_Drug_Sub-project
Minutes Template
Meeting Information
HL7 Negation Requirements Meeting Minutes Location: Phone |
Date: 2016-11-02 Time: 9:00-10:00 ET | ||
Facilitator | Jay Lyle | Note taker(s) | Jay Lyle |
Attendee | Name | Affiliation
| |
y | Jay Lyle | JP Systems / VA | |
y | Froukje Harkes-Idzinga | Nictiz | |
y | Rob Hausam | Hausam Consulting | |
y | Serafina Versaggi | Versaggi Consulting | |
y | Rob McClure | MD Partners | |
y | Susan Loucks | ||
y | Larry McKnight | Cerner | |
y | Michael Tan | Nictiz | |
Agenda
Agenda Topics
- overview of Dutch system
- overview of Cerner dataset
Minutes
Minutes/Conclusions Reached:
- Froukje Harkes-Idzinga gave an overview of the Dutch system (see G-system)
- File
- The system has concepts that seem to line up with RxNorm: Basic Substance to Ingredient & Substance to Precise Ingredient
- The system provides (or will provide) scope for users to record "policy" for a sensitivity; i.e., whether they find the substance safe to administer in the future
- Larry McKnight gave an overview of his work on the Cerner dataset
- ~40MM records
- SNOMED CT encodings clearly best for foods; pretty good for drugs, too, with some exceptions (esp. MIN)
- Some discussion of splitting MIN records (e.g., Percocet). Proposal: record the MIN (what is known) and let the CDS engine determine which ingredients to check against.
- Very brief look at G-SRS demo
- as with other regulatory registries, this seems too specific, but as a metathesaurus it may be very useful.
Meeting Outcomes
Actions
|
Next Meeting/Preliminary Agenda Items
|
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