Literature DB >> 31483269

Design and Concept of the SMITH Phenotyping Pipeline.

Frank A Meineke1, Sebastian Stäubert1, Matthias Löbe1, Alexandr Uciteli1, Markus Löffler1.   

Abstract

Phenotyping 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.

Keywords:  Medical informatics; biomedical research; data analysis; health information systems; information dissemination; phenotype

Mesh:

Year:  2019        PMID: 31483269     DOI: 10.3233/SHTI190821

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

1.  Development of a repository of computable phenotype definitions using the clinical quality language.

Authors:  Pascal S Brandt; Jennifer A Pacheco; Luke V Rasmussen
Journal:  JAMIA Open       Date:  2021-12-03

2.  Desiderata for the development of next-generation electronic health record phenotype libraries.

Authors:  Martin Chapman; Shahzad Mumtaz; Luke V Rasmussen; Andreas Karwath; Georgios V Gkoutos; Chuang Gao; Dan Thayer; Jennifer A Pacheco; Helen Parkinson; Rachel L Richesson; Emily Jefferson; Spiros Denaxas; Vasa Curcin
Journal:  Gigascience       Date:  2021-09-11       Impact factor: 6.524

  2 in total

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