Literature DB >> 31520098

[Urolithiasis research-big data and artificial intelligence : How we can use the new structures of the medical informatics initiative of the Federal Ministry of Education and Research].

M Schönthaler1, Friederike Praus2.   

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?).

Entities:  

Keywords:  Evidence-based medicine; Health care research; Quality of evidence; Registry; Risk factors

Mesh:

Year:  2019        PMID: 31520098     DOI: 10.1007/s00120-019-01032-8

Source DB:  PubMed          Journal:  Urologe A        ISSN: 0340-2592            Impact factor:   0.639


  11 in total

1.  Dietary and pharmacologic management to prevent recurrent nephrolithiasis in adults: a clinical practice guideline from the American College of Physicians.

Authors:  Amir Qaseem; Paul Dallas; Mary Ann Forciea; Melissa Starkey; Thomas D Denberg
Journal:  Ann Intern Med       Date:  2014-11-04       Impact factor: 25.391

2.  Level of evidence, sponsorship, conflict of interest policy and commercial impact of PubMed-listed clinical urolithiasis-related trials in 2014.

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

Review 3.  EAU Guidelines on Diagnosis and Conservative Management of Urolithiasis.

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

4.  A pragmatic-explanatory continuum indicator summary (PRECIS): a tool to help trial designers.

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

5.  [A registry of registries and cohorts: recommendations for metadata and policies].

Authors:  J Stausberg; S Semler; E A M Neugebauer
Journal:  Gesundheitswesen       Date:  2014-12-19

Review 6.  How to compete with Google and Co.: big data and artificial intelligence in stones.

Authors:  Martin Schoenthaler; Martin Boeker; Petar Horki
Journal:  Curr Opin Urol       Date:  2019-03       Impact factor: 2.309

7.  [Memorandum IV: Theoretical and Normative Grounding of Health Services Research].

Authors:  W Baumann; E Farin; A Menzel-Begemann; T Meyer
Journal:  Gesundheitswesen       Date:  2016-06-01

Review 8.  Extracorporeal shock wave lithotripsy (ESWL) versus percutaneous nephrolithotomy (PCNL) or retrograde intrarenal surgery (RIRS) for kidney stones.

Authors:  Attasit Srisubat; Somkiat Potisat; Bannakij Lojanapiwat; Vasun Setthawong; Malinee Laopaiboon
Journal:  Cochrane Database Syst Rev       Date:  2014-11-24

9.  Use of the National Health and Nutrition Examination Survey to calculate the impact of obesity and diabetes on cost and prevalence of urolithiasis in 2030.

Authors:  Jodi A Antonelli; Naim M Maalouf; Margaret S Pearle; Yair Lotan
Journal:  Eur Urol       Date:  2014-07-09       Impact factor: 20.096

10.  Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Authors:  Ziad Obermeyer; Ezekiel J Emanuel
Journal:  N Engl J Med       Date:  2016-09-29       Impact factor: 91.245

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