Design and Concept of the SMITH Phenotyping Pipeline.
View Publication On PubMed
Export 
BiBTeXPhenotyping means the determination of clinical relevant phenotypes, e.g. by classification or calculation based on EHR data. Within the German Medical Informatics Initiative, the SMITH consortium is working on the implementation of a phenotyping pipeline. to extract, structure and normalize information from the EHR data of the hospital information systems of the participating sites; to automatically apply complex algorithms and models and to enrich the data within the research data warehouses of the distributed data integration centers with the computed results. Here we present the overall picture and essential building blocks and workflows of this concept.
PubMed ID: 31483269
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: Journal article
Journal: Stud Health Technol Inform
Human Diseases: No Human Disease specified
Citation: Stud Health Technol Inform. 2019 Sep 3;267:164-172. doi: 10.3233/SHTI190821.
Date Published: 3rd Sep 2019
Registered Mode: by PubMed ID
Export PNG
Download
Submitter
Views: 2857
Created: 29th Jul 2020 at 08:25
Last updated: 7th Dec 2021 at 17:58
AttributionsNone
Related items
Medical data routinely generated in everyday clinical practice is processed and made available to medical research in a standardized form. Patients benefit from reliable research results, more precise diagnoses and better treatments. In order to link data from care and research, the participating university hospitals in Aachen, Bonn, Essen, Halle, Hamburg, Jena and Leipzig have established sustainable Data Integration Centers. The network partners Ruhr University Bochum, the Düsseldorf University ...
Programme: MII - Medical Informatics Initiative
Public web page: https://www.smith.care/
Start date: 1st Jan 2018
PheP is a platform that enables clinical researchers to work together with statisticians and computer scientists in interdisciplinary collaboration to pursue scientific issues that previously seemed economically and technologically unthinkable. For this purpose, it is necessary to build data sets that can be used for clinical-epidemiological and health-economic issues.
From phenotypes, i.e. determinable characteristics of patients, further characteristics can be derived and provided via phenotyping. ...
Projects: NLP4CR - Natural Language Processing for Clinical Research, Evaluation Metadata Repository, SMITH - Smart Medical Information Technology for Healthcare, FAIR4Health, 3LGM² Enterprise Architecture Modeling, Student Thesis
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-2344-0426
Projects: LHA - Leipzig Health Atlas, LIFE Adult, LIFE - Leipzig Research Center for Civilization Diseases, LIFE HNC - Head and Neck Cancer Group, MMML - Molecular mechanisms in malignant lymphoma, GLA - German Lymphoma Alliance, MMML Demonstrators - Molecular Mechanisms in Malignant Lymphomas - Demonstrators of Personalized Medicine, MMML-MYC-SYS, Genetical Statistics and Systems Biology, SepNet - German Competence Network Sepsis, HaematoSys - Systems biology of haematopoiesis and haematopoietic neoplasia, e:Med, SMITH - Smart Medical Information Technology for Healthcare, Task Force COVID-19 Leipzig, NFDI4Health, POLAR - Polypharmacy, Drug Interactions, Risks
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig
Prof. Dr. Markus Löffler Universität Leipzig Institut für Medizinische Informatik, Statistik und Epidemiologie Härtelstraße 16-18 04107 Leipzig
Projects: LHA - Leipzig Health Atlas, SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks, Management of health information systems, Project Test Demonstrator, NFDI4Health - TA3 Services, NFDI4Health, Methodical Use Case PheP, STOP-NUC, BASALIT
Institutions: Institute for Medical Informatics, Statistics and Epidemiology (IMISE)
https://orcid.org/0000-0002-9256-7543
I am a research associate at IMISE, Universität Leipzig.
The medical informatics initiative was created to close the gap between research and healthcare. All of Germany’s university hospitals have joined forces with research institutions, businesses, health insurers, and patient advocacy groups to create a framework that harnesses research findings to the direct benefit of patients. The German Federal Ministry of Education and Research (BMBF) is investing around 160 million euros in the programme through 2021. The digitisation of medicine is creating ...
Projects: Methodical Use Case PheP, SMITH - Smart Medical Information Technology for Healthcare, POLAR - Polypharmacy, Drug Interactions, Risks
