Converting Health Level 7 Clinical Document Architecture (CDA) documents to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by leveraging CDA Template definitions

Using CDA Templates for ETL design addresses common ETL challenges, such as data accessibility during ETL design, by decoupling the process from the actual CDA instances. Future work could focus on extending this approach to automatically generate boilerplate code, address cyclic dependencies within CDA Templates, and adapt the method for the use with FHIR profiles.

Authors

Institutions

Publication Details

Journal
JAMIA Open
Published
2025-03-06
DOI
https://doi.org/10.1093/jamiaopen/ooaf022
Citations
2
Primary Topic
Medical Coding and Health Information
Type
article
Field-Weighted Citation Impact
5.88
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Converting Health Level 7 Clinical Document Architecture (CDA) documents to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by leveraging CDA Template definitions

Tanja Stamm, Florian Katsch, Georg Duftschmid, Rada Hussein
2 citations
JAMIA Open
Medical Coding and Health Information
5.88
article

Converting Health Level 7 Clinical Document Architecture (CDA) documents to Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) by leveraging CDA Template definitions

Tanja Stamm, Florian Katsch, Georg Duftschmid, Rada Hussein
article en
2 citations

Abstract

Using CDA Templates for ETL design addresses common ETL challenges, such as data accessibility during ETL design, by decoupling the process from the actual CDA instances. Future work could focus on extending this approach to automatically generate boilerplate code, address cyclic dependencies within CDA Templates, and adapt the method for the use with FHIR profiles.

JAMIA OpenVol. 8(2)
Ludwig Boltzmann Institute for Age Research (AT), Medical University of Vienna (AT)
Openalex Percentile: Top 5%
Medical Coding and Health Information
5.88
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.