Design and Implementation of an ETLProcess to Transfer Wound-Related Data into a Standardized Common Data Model

Autor(en): Przysucha, Mareike
Hüsers, Jens
Liberman, Daniil
Kersten, Oliver
Schlüter, Aphrodite
Fraas, Sebastian
Busch, Dorothee
Moelleken, Maurice
Erfurt-Berge, Cornelia
Dissemond, Joachim
Hübner, Ursula
Herausgeber: Rohrig, R.
Grabe, N.
Haag, M.
Hubner, U.
Sax, U.
Schmidt, C.O.
Sedlmayr, M.
Zapf, A.
Stichwörter: algorithm; Algorithms; Chronic conditions; Chronic wounds; Common data model; Computer programming; Data handling; Database schemas; Databases, Factual; Design and implementations; Drugs, Generic; ETL Process; factual database; Generic algorithm; generic drug; human; Humans; information processing; Mapping; Medical informatics; Observational medical outcome partnership common data model; Observational study; OMOP CDM; quality of life; Records; Wound Care
Erscheinungsdatum: 2023
Herausgeber: IOS Press BV
Journal: Studies in Health Technology and Informatics
Volumen: 307
Startseite: 258 – 266
Zusammenfassung: 
For observational studies, which are relevant especially for chronic conditions like chronic wounds, the Observational Medical Outcomes Partnership (OMOP) Common Data Model (CDM) offers a standardized database schema. In this study an ETL process for the transition of wound related data was developed. After understanding the data in general and mapping the relevant codes to concepts available in OMOP, the ETL process was implemented. In a first step, a generic algorithm to convert data to a csv format was implemented in Java. The resulting csv file was then processed within KNIME to be loaded into an OMOP CDM conformant database. During the whole ETL process, HL7 FHIR CodeSystem and ConceptMap resources were used for coding and mapping. First clinical test cases to retrieve data were successfully processed as an example to demonstrate the feasibility and usefulness. They concerned wound size at the first visit and the main issues of patients in the wound quality of life questionnaire (n = 24). In general, the ETL process worked well, yet some challenges arose, like post coordinated SNOMED codes or conditions, which might occur more than once. © 2023 The authors and IOS Press.
Beschreibung: 
Cited by: 0; Conference name: 68th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology: Science. Close to People, GMDS 2023; Conference date: 17 September 2023 through 21 September 2023; Conference code: 193054; All Open Access, Hybrid Gold Open Access
ISBN: 9781643684284
ISSN: 0926-9630
DOI: 10.3233/SHTI230723
Externe URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85170628264&doi=10.3233%2fSHTI230723&partnerID=40&md5=dd6b57782630b6f63b40fe8b39707aac

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