Title: HL7 Drug Name Coordination Efforts James J. Cimino, M.D. Columbia University
1HL7 Drug Name Coordination EffortsJames J.
Cimino, M.D.Columbia University
2Drug Terminology Efforts in HL7
- Need for medication terms
- Much source data generated by pharmacy systems
- Pharmacy knowledge base vendors are exploring
ways to place their terminologies in the public
domain - Vocabulary TC convened meetings to explore ways
of collaborating
3Disclaimer
- Nothing is a balloted standard yet
- TC has not yet proposed a formal model
- TC has not yet proposed a plan of action
- TC is still defining scope and goals
4Drug Terminology Modeling
- Some agreement on the concept of a "clinical
drug" - More-specific terms
- Less-specific terms
- Dosage forms
- Routes
5Clinical Drugs
- Active ingredients
- Dosage form
6Trademark Drugs
- Active ingredients
- Dosage form
7Manufactured Components
- Active ingredients
- Dosage form
- Trademark
- Inactive ingredients
- Dispensing and Inventory
- Manufacturer (may not be the same as supplier)
8Drug Model Hierarchy
Packages
Medications
Drug Class
International Package Identifiers
Chemicals
is-a
Not-Fully-Specified Drug
is-a
Ingredient Class
is-a
Country-Specific Packaged Product
Clinical Drug
is-a
is-a
is-a
Ingredient
Composite Clinical Drug
Trademark Drug
is-a
is-a
Manufactured Components
Composite Trademark Drug
9Drug Model Hierarchy
Packages
Medications
Drug Class
International Package Identifiers
Chemicals
is-a
Not-Fully-Specified Drug
is-a
Ingredient Class
is-a
Country-Specific Packaged Product
Clinical Drug
is-a
is-a
is-a
Ingredient
Composite Clinical Drug
Trademark Drug
is-a
is-a
Manufactured Components
Composite Trademark Drug
10Clinical Drugs
- Dosage form
- Active ingredients
- Chemical
- Form Strength
- Strength amount
- Strength units
- Volume
- Volume units
11Experiment
- Can model allow for interoperability?
- Single terminology vs.
- Mapping between terminologies
- Select random sample of drug terms
- Obtain descriptions from terminology developers
- Compare description components
- Examine overall match rate
12Sample Selection
- 71,000 NDC Codes
- 1000 selected at random (1.4)
- Many are obsolete
13Descriptions from Vendors
- Name Form Ingredient 1 Ingredient 2
- Valium 5mg Tablet Tablet Diazepam
- 5mg
- Tylenol 3 Tablet Acetaminophen Codeine
- 325mg 30mg
- Chloral Hydrate Syrup Syrup Chloral Hydrate
- 100.000000mg1.000000ml
14Descriptions from Vendors
- Set Mapped
- A 358
- B 459
- C 605
- D 405
- E 566
A B C D E None
- 340 358 326 357 642 340 -
452 361 449 541 358 452 -
393 554 395 326 361 393 -
392 395 357 449 554 392 - 434 Overall,
367 terms were not represented in any set, 71
appeared in only one set, 77 appeared in exactly
two sets, 83 appeared in three sets, 91 appeared
in four, and 311 terms appeared in all five
terminologies.
15Pairwise Comparisons
- Set B C D E
- A 340 358 326 357
- B 452 361 449
- C 393 554
- D 392
- E
16Pairwise Comparisons
- Set B C D E
- A 340 358 326 357
- B 452 361 449
- C 393 554
- D 392
- E
3982
17Comparisons
- Dosage Form 3982
- Ingredient (number and match) 5507
- Dose Strength (dose, units, volume, volume
units) 4337 - Overall 3982
18Dosage Form Matching
- TAB TABLET
- LIQUID ? ORAL LIQUID
- 111 Dosage form synonyms
19Ingredient Matching
- HCl vs. Hydrochloride
- Salt vs. Base
- Inclusion of form or route
- Mention of animal source
20Matching Other Components
- Dose Strength Matching
- Dose Units Matching
- Dose Volume Matching
- Dose Volume Units Matching
21Overall Matching
- Form matches
- Same number of ingredients
- Each ingredient matches on chemical and all four
other parameters
22Overall Matching
23Pairwise Comparisons
- Set A B C D E
- A - 340 358 326 357
- B 340 - 452 361 449
- C 358 452 - 393 554
- D 326 361 393 - 392
- E 357 449 554 392 -
24Pairwise Complete Matches
- Set A B C D E
- A - 59 45 48 52
- B 59 - 54 63 62
- C 45 54 - 46 48
- D 48 63 46 - 58
- E 52 62 48 58 -
25Example of Mismatch
- GUAIFENESIN AC LIQUID10100MG/5MLMG/LIQUID
- SYRUP
- GUAIFENESIN00000000.0000000.000
- CODEINE PHOSPHATE..
- LIQUID
- CODEINE PHOSPHATE2.000000MG
- GUAIFENESIN20.000000MG1.000000ML
- LIQUID, ORAL (SYSTEMIC)
- CODEINE PHOSPHATE10MG5ML
- GUAIFENESIN100MG5ML
- LIQUID
- CODEINE PHOSPHATE10.0000MG/5ML
- GUAIFENESIN100.0000MG/5ML
- SYRUP
- CODEINE PHOSPHATE10MILLIGRAM(S)5MILLILITER(S)
- GUAIFENESIN100MILLIGRAM(S)5MILLILITER(S)
26Example of Mismatch
- RECOMBIVAX HB ADULT FORMULATION
INJECTION10MCGINJ-SUS -
- HEPATITIS B VIRUS VACCINE
-
- HEPATITIS B SURFACE ANTIGEN
-
- HEPATITIS B VACCINE-RECOMBINANT
-
- HEPATITIS B VIRUS VACCINE RECOMBINANT
-
- HEPATITIS B VACCINE RECOMBINANT
27Discussion
- Matching is still far from perfect
- Not surprising, given lack of standards for
attribute values - Next steps
28Discussion Next Steps
- Define some rules for each field
- Select new random sample
- Find subset with good overlap across
terminologies - Submit descriptions of new subset
29Discussion New Rules
- Dose forms separate translation step
- Ingredients
- Right number
- Specific chemical entity
- Identifiers (UMLS?)
- Dont mix in route or concentration
- Strengths
- Conversion algorithms
- Rules for defaults
- Dont mix route or concentration with strength
30Conclusions
- Glass half empty
- How can we do automated translation of patient
data? - Can drug order transfers and decision support be
safe? - Glass half full
- No attempt yet to standardize attribute
terminology - Most translation was much better than 50
- Just getting started
- Better than what we do now
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