{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,8,26]],"date-time":"2024-08-26T21:02:39Z","timestamp":1724706159163},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,5,24]],"date-time":"2021-05-24T00:00:00Z","timestamp":1621814400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,24]]},"abstract":"<jats:p>Data integration is a necessary and important step to perform translational research and improve the sample size beyond single data collections. For health information, the most recent established communication standards is HL7 FHIR. To bridge the concepts of \u201cminimal invasive\u201d data integration and open standards, we propose a generic ETL framework to process arbitrary patient related data collections into HL7 FHIR \u2013 which in turn can then be used for loading into target data warehouses. The proposed algorithm is able to read any relational delimited text exports and produce a standard HL7 FHIR bundle collection. We evaluated an implementation of the algorithm using different lung research registries and used the resulting FHIR resources to fill our i2b2 based data warehouse as well an OMOP common data model repository.<\/jats:p>","DOI":"10.3233\/shti210053","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T12:01:22Z","timestamp":1622116882000},"source":"Crossref","is-referenced-by-count":2,"title":["HIStream-Import: A Generic ETL Framework for Processing Arbitrary Patient Data Collections or Hospital Information Systems into HL7 FHIR Bundles"],"prefix":"10.3233","author":[{"given":"Raphael W.","family":"Majeed","sequence":"first","affiliation":[{"name":"Universities Gie\u00dfen and Marburg Lung Center (UGMLC), Giessen, Germany"},{"name":"Institute of Medical Informatics, Medical Faculty of RWTH University Aachen, Aachen, Germany"}]},{"given":"Mark R.","family":"St\u00f6hr","sequence":"additional","affiliation":[{"name":"Universities Gie\u00dfen and Marburg Lung Center (UGMLC), Giessen, Germany"}]},{"given":"Andreas","family":"G\u00fcnther","sequence":"additional","affiliation":[{"name":"Universities Gie\u00dfen and Marburg Lung Center (UGMLC), Giessen, Germany"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","German Medical Data Sciences: Bringing Data to Life"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210053","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:09:33Z","timestamp":1635167373000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210053"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,24]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210053","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,24]]}}}