@phdthesis{Doering2018, type = {Master Thesis}, author = {Markus D{\"o}ring}, title = {Evaluating an Approach for mapping FHIR Profiles to Research Protocols}, url = {https://nbn-resolving.org/urn:nbn:de:hbz:832-epub4-12915}, year = {2018}, abstract = {Observational studies and clinical trials have become increasingly important over recent years and play an essential role in advancing medical knowledge. In today’s world of clinical research, it is not possible to imagine trials without the founda-tion of a well-established it-infrastructure. Electronic capture and usage of data is pervasive. In practice, medical progress requires the ability to integrate data from different systems. An essential factor in enabling different actors, such as institutions and hospitals, to have their systems exchange structured data and make use of the information is the interoperability of the data and systems. FHIR (Fast Healthcare Interoperable Resources) is a free and easily customizable HL7 platform standard, based on 30 years of experience of HL7. It is focused on providing health-related information and defines a set of capabilities used in the health care process. This thesis will provide a conceptual approach for working with FHIR, as well as concrete approaches for working with FHIR profiles and for customizing the standard for particular use cases. It will be carried out in cooperation with the Medical Systems R\&D, which is a service provider within the University Hospital of Cologne. The guiding request approach will focus on the evaluation of requirements for clini-cal trials and how clinical research protocols can be represented in an interoperable and machine-parsable format using FHIR.}, language = {en} }