Skip to content Skip to footer

Research Portal of the TU Dresden

JMIR medical informatics

ISSNs: 2291-9694

JMIR Publications Inc.

Scopus rating (2022): CiteScore 5.6 SJR 0.963 SNIP 1.132

Indexed in DOAJ

Journal

Titles	JMIR medical informatics
Additional searchable titles	JMIR Med Inform
ISSNs	2291-9694
Publisher	JMIR Publications Inc.
ZDB-ID	2798261-0

Keywords

ASJC Scopus subject areas

Health Informatics
Health Information Management

Use of Metadata-Driven Approaches for Data Harmonization in the Medical Domain: Scoping Review

Peng, Y., Bathelt, F., Gebler, R., Gött, R., Heidenreich, A., Henke, E., Kadioglu, D., & 3 othersLorenz, S., Vengadeswaran, A. & Sedlmayr, M., 14 Feb 2024, In: JMIR medical informatics. 12, p. e52967

Research output: Contribution to journal › Review article › Contributed › peer-review

Assessing the Use of German Claims Data Vocabularies for Research in the Observational Medical Outcomes Partnership Common Data Model: Development and Evaluation Study

Henke, E., Zoch, M., Kallfelz, M., Ruhnke, T., Leutner, L. A., Spoden, M., Günster, C., & 2 othersSedlmayr, M. & Bathelt, F., 7 Nov 2023, In: JMIR medical informatics. 11, p. e47959-e47959 e47959.

Research output: Contribution to journal › Research article › Contributed › peer-review

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation

Henke, E., Peng, Y., Reinecke, I., Zoch, M., Sedlmayr, M. & Bathelt, F., 21 Aug 2023, In: JMIR medical informatics. 11, e47310.

Research output: Contribution to journal › Research article › Contributed › peer-review

Methods Used in the Development of Common Data Models for Health Data: Scoping Review

Ahmadi, N., Zoch, M., Kelbert, P., Noll, R., Schaaf, J., Wolfien, M. & Sedlmayr, M., 3 Aug 2023, In: JMIR medical informatics. 11, e45116.

Research output: Contribution to journal › Review article › Contributed › peer-review

Interoperable, Domain-Specific Extensions for the German Corona Consensus (GECCO) COVID-19 Research Data Set Using an Interdisciplinary, Consensus-Based Workflow: Data Set Development Study

Lichtner, G., Haese, T., Brose, S., Röhrig, L., Lysyakova, L., Rudolph, S., Uebe, M., & 13 othersSass, J., Bartschke, A., Hillus, D., Kurth, F., Sander, L. E., Eckart, F., Toepfner, N., Berner, R., Frey, A., Dörr, M., Vehreschild, J. J., von Kalle, C. & Thun, S., 18 Jul 2023, In: JMIR medical informatics. 11, p. e45496

Research output: Contribution to journal › Research article › Contributed › peer-review

View all research output (8)

Research Portal of the TU Dresden

Keywords

ASJC Scopus subject areas

Related content