M Schönthaler1, Friederike Praus2. 1. Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland. martin.schoenthaler@uniklinik-freiburg.de. 2. Klinik für Urologie, Universitätsklinikum Freiburg, Hugstetter Str. 55, 79106, Freiburg, Deutschland.
Abstract
BACKGROUND: The digital transformation of society has a tremendous impact on both medicine and healthcare. The generation and processing of continuously growing amounts of digital data can be used to facilitate new approaches in research, particularly for healthcare research of common diseases such as urolithiasis. OBJECTIVE: Presentation of the design of the German medical informatics initiative (MI-I) and the resulting possibilities for healthcare research in the field of urolithiasis. RESULTS: For a meaningful utilization patient data must be readily available for research purposes and suitable methods for the analysis, interpretation and utilization must be developed. The aim of the German MI‑I is to make patient data collected during hospitalization available for research. The formation of so-called data integration centers will create a digital network that will facilitate the utilization and exchange of data between institutions. Advanced artificial intelligence algorithms will be used for analysis of the immense amounts of data. In May 2019 the German Federal Ministry of Education and Research boosted funding for the set-up of a digital nationwide registry on urolithiasis where the data foundation is to be generated based on the digital infrastructure of the MI‑I. The registry is intended to answer questions from the three relevant areas: "impact of the disease on individuals and society" (e.g. limitations in the quality of life and ability to work, treatment costs), "identification of further risk factors" (e.g. personalized medicine, especially taking account of lifestyle and nutrition, development of a risk score) and "evaluation of various treatment approaches" (which is the best treatment for an individual patient?).
BACKGROUND: The digital transformation of society has a tremendous impact on both medicine and healthcare. The generation and processing of continuously growing amounts of digital data can be used to facilitate new approaches in research, particularly for healthcare research of common diseases such as urolithiasis. OBJECTIVE: Presentation of the design of the German medical informatics initiative (MI-I) and the resulting possibilities for healthcare research in the field of urolithiasis. RESULTS: For a meaningful utilization patient data must be readily available for research purposes and suitable methods for the analysis, interpretation and utilization must be developed. The aim of the German MI‑I is to make patient data collected during hospitalization available for research. The formation of so-called data integration centers will create a digital network that will facilitate the utilization and exchange of data between institutions. Advanced artificial intelligence algorithms will be used for analysis of the immense amounts of data. In May 2019 the German Federal Ministry of Education and Research boosted funding for the set-up of a digital nationwide registry on urolithiasis where the data foundation is to be generated based on the digital infrastructure of the MI‑I. The registry is intended to answer questions from the three relevant areas: "impact of the disease on individuals and society" (e.g. limitations in the quality of life and ability to work, treatment costs), "identification of further risk factors" (e.g. personalized medicine, especially taking account of lifestyle and nutrition, development of a risk score) and "evaluation of various treatment approaches" (which is the best treatment for an individual patient?).
Entities:
Keywords:
Evidence-based medicine; Health care research; Quality of evidence; Registry; Risk factors
Authors: Martin Schoenthaler; Arkadiusz Miernik; Konrad Wilhelm; Daniel Schlager; Dominik Stefan Schoeb; Fabian Adams; Philipp Dahm; Simon Hein Journal: BJU Int Date: 2015-12-29 Impact factor: 5.588
Authors: Christian Türk; Aleš Petřík; Kemal Sarica; Christian Seitz; Andreas Skolarikos; Michael Straub; Thomas Knoll Journal: Eur Urol Date: 2015-08-28 Impact factor: 20.096
Authors: Kevin E Thorpe; Merrick Zwarenstein; Andrew D Oxman; Shaun Treweek; Curt D Furberg; Douglas G Altman; Sean Tunis; Eduardo Bergel; Ian Harvey; David J Magid; Kalipso Chalkidou Journal: J Clin Epidemiol Date: 2009-05 Impact factor: 6.437