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Improving the informational continuity of care in diabetes mellitus treatment with a nationwide Shared EHR system: Estimates from Austrian claims data.

, , , , , , and . Int. J. Medical Informatics, (2016)

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An Application of Process Mining in the Context of Melanoma Surveillance Using Time Boxing., , , , and . Business Process Management Workshops, volume 342 of Lecture Notes in Business Information Processing, page 175-186. Springer, (2018)JADE: A Tool for Medical Researchers to Explore Adverse Drug Events Using Health Claims Data., , , , , , , and . eHealth, volume 198 of Studies in Health Technology and Informatics, page 249. IOS Press, (2014)Validation of Standardized and Structured EHR Data in the Dual Model Approach., and . MIE, volume 150 of Studies in Health Technology and Informatics, page 118. IOS Press, (2009)A Clinical Data Warehouse Based on OMOP and i2b2 for Austrian Health Claims Data., , , and . eHealth, volume 248 of Studies in Health Technology and Informatics, page 94-99. IOS Press, (2018)Standardizing Austrians Claims Data Using the OMOP Common Data Model: A Feasibility Study., , and . EFMI-STC, volume 258 of Studies in Health Technology and Informatics, page 151-152. IOS Press, (2019)Improving the informational continuity of care in diabetes mellitus treatment with a nationwide Shared EHR system: Estimates from Austrian claims data., , , , , , and . Int. J. Medical Informatics, (2016)Bridging the Gap between HL7 CDA and HL7 FHIR: A JSON Based Mapping., and . eHealth, volume 223 of Studies in Health Technology and Informatics, page 100-106. IOS Press, (2016)Feasibility of Mapping Austrian Health Claims Data to the OMOP Common Data Model., , , and . J. Medical Systems, 43 (10): 314:1-314:5 (2019)Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience., , and . BMC Medical Informatics Decis. Mak., (2013)Extraction of standardized archetyped data from Electronic Health Record systems based on the Entity-Attribute-Value Model., , and . Int. J. Medical Informatics, 79 (8): 585-597 (2010)