Center for Medical Data Science (Institute of Medical Information Management)
Position: Research Assistant
ORCID: 0000-0002-3847-5664
T +43 1 40400 66930
christoph.rinner@meduniwien.ac.at
Keywords
Data Mining; Database Management Systems; Electronic Health Records; Hospital Communication Systems
Research interests
My research concentrates on the area of recording, processing and exchanging health data in the context of medical documentations. In particular this includes the topics of standardization of electronic health records for scientific purposes.
Techniques, methods & infrastructure
Experience implementing the following international standards:
- HL7 Standards (HL7 CDA, HL7 FHIR, HL7 v2 Messages)
- ISO Standards (ISO/EN 13606-1, ISO/EN 13606-2)
- IHE (ELGA-Implementierugnsleitfäden, IHE-XDS.b)
Data extraction and analysis using the following databases and clinical data warehouse solutions:
- Health claims data
- FOKO (FOlgeKOsten)-Schnittstelle (Vorsorge(Gesunden)untersuchungen)
- Minimal-Basic-Dataset (MBDS-Data)
- AKIM RDA-Plattform
- i2b2
- OMOP CDM
Grants
- GigapixelTutor - Interaktives und integriertes Online-Lernen mit Gigapixel Bildern (2022)
Source of Funding: Medical University of Vienna, netidee - Internet Privatstiftung Austria
Principal Investigator - imProve - Managing the Health Product Development (project partner) (2016)
Source of Funding: Vienna Business Agency, Call Users in Focus 2016
Principal Investigator
Selected publications
- Tschandl, P. Rinner, C. et al., 2020. Human–computer collaboration for skin cancer recognition. Nature Medicine. Available at: http://dx.doi.org/10.1038/s41591-020-0942-0.
- Tschandl, P. et al., 2019. Comparison of the accuracy of human readers versus machine-learning algorithms for pigmented skin lesion classification: an open, web-based, international, diagnostic study. The Lancet Oncology, 20(7), pp.938–947. Available at: http://dx.doi.org/10.1016/S1470-2045(19)30333-X.
- Rinner, C. et al., 2017. Long-term evaluation of the efficacy of digital dermatoscopy monitoring at a tertiary referral center. JDDG: Journal der Deutschen Dermatologischen Gesellschaft, 15(5), pp.517–522. Available at: http://dx.doi.org/10.1111/ddg.13237.
- Duftschmid, G., Chaloupka, J. & Rinner, C., 2013. Towards plug-and-play integration of archetypes into legacy electronic health record systems: the ArchiMed experience. BMC Medical Informatics and Decision Making, 13(1). Available at: http://dx.doi.org/10.1186/1472-6947-13-11.
- Rinner, C. et al., 2010. Semantic Validation of Standard-based Electronic Health Record Documents with W3C XML Schema. Methods of Information in Medicine, 49(3), pp.271-280. Available at: http://dx.doi.org/10.3414/ME09-02-0027.