Standardizing Clinical Diagnoses : Evaluating Alternate Terminology Selection
©2020 AMIA - All rights reserved..
In most electronic health record (EHR) systems, clinicians record diagnoses using interface terminologies, such as Intelligent Medical Objects (IMO). When extracting data from EHRs for collaborative research, local codes are often transformed to standard terminologies for consistent analyses despite the potential for loss of fidelity. EHR diagnosis codes may be standardized directly during the Extract-Transform-Load (ETL) process to the "Meaningful Use" clinical data exchange standard, SNOMED-CT, or to the International Classification of Diseases (ICD) terminologies commonly used for billing. We examined the performance of ETL standardization via the direct IMO mapping to SNOMED-CT, and via IMO mapping to ICD-9-CM or ICD-10-CM followed by UMLS mapping to SNOMED-CT. We found that for both ICD-9-CM and ICD-10-CM, only 24-27% of diagnosis codes map to the same SNOMED-CT code selected by the direct IMO-SNOMED crosswalk. We identified that differences in mapping lead to loss in the granularity and laterality of the initial diagnosis.
| Medienart: |
Artikel |
|---|
| Erscheinungsjahr: |
2020 |
|---|---|
| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:2020 |
|---|---|
| Enthalten in: |
AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science - 2020(2020) vom: 22., Seite 71-79 |
| Sprache: |
Englisch |
|---|
| Beteiligte Personen: |
Burrows, Evanette K [VerfasserIn] |
|---|
| Themen: |
|---|
| Anmerkungen: |
Date Revised 28.09.2020 published: Electronic-eCollection Citation Status PubMed-not-MEDLINE |
|---|
| Förderinstitution / Projekttitel: |
|
|---|
| PPN (Katalog-ID): |
NLM310580560 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | NLM310580560 | ||
| 003 | DE-627 | ||
| 005 | 20231226201506.0 | ||
| 007 | tu | ||
| 008 | 231225s2020 xx ||||| 00| ||eng c | ||
| 028 | 5 | 2 | |a pubmed24n1035.xml |
| 035 | |a (DE-627)NLM310580560 | ||
| 035 | |a (NLM)32477625 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Burrows, Evanette K |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Standardizing Clinical Diagnoses |b Evaluating Alternate Terminology Selection |
| 264 | 1 | |c 2020 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a ohne Hilfsmittel zu benutzen |b n |2 rdamedia | ||
| 338 | |a Band |b nc |2 rdacarrier | ||
| 500 | |a Date Revised 28.09.2020 | ||
| 500 | |a published: Electronic-eCollection | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a ©2020 AMIA - All rights reserved. | ||
| 520 | |a In most electronic health record (EHR) systems, clinicians record diagnoses using interface terminologies, such as Intelligent Medical Objects (IMO). When extracting data from EHRs for collaborative research, local codes are often transformed to standard terminologies for consistent analyses despite the potential for loss of fidelity. EHR diagnosis codes may be standardized directly during the Extract-Transform-Load (ETL) process to the "Meaningful Use" clinical data exchange standard, SNOMED-CT, or to the International Classification of Diseases (ICD) terminologies commonly used for billing. We examined the performance of ETL standardization via the direct IMO mapping to SNOMED-CT, and via IMO mapping to ICD-9-CM or ICD-10-CM followed by UMLS mapping to SNOMED-CT. We found that for both ICD-9-CM and ICD-10-CM, only 24-27% of diagnosis codes map to the same SNOMED-CT code selected by the direct IMO-SNOMED crosswalk. We identified that differences in mapping lead to loss in the granularity and laterality of the initial diagnosis | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Razzaghi, Hanieh |e verfasserin |4 aut | |
| 700 | 1 | |a Utidjian, Levon |e verfasserin |4 aut | |
| 700 | 1 | |a Bailey, L Charles |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science |d 2012 |g 2020(2020) vom: 22., Seite 71-79 |w (DE-627)NLM219295107 |x 2153-4063 |7 nnns |
| 773 | 1 | 8 | |g volume:2020 |g year:2020 |g day:22 |g pages:71-79 |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a GBV_NLM | ||
| 951 | |a AR | ||
| 952 | |d 2020 |j 2020 |b 22 |h 71-79 | ||