Literature DB >> 31483278

Implementation of Emergency Department Performance Benchmarking Using R and LaTeX.

Ronny Otto1, Wiebke Schirrmeister1, Raphael W Majeed2,3, Felix Greiner1, Benjamin Lucas1, Rainer Röhrig2,3, Felix Walcher1, Dominik Brammen1,4.   

Abstract

The German Emergency Department Data Registry (GEDD-registry, AKTIN) provides an infrastructure for collecting and querying up-to-date medical records in a distributed manner. Within this framework, a benchmark report on cross-institutional comparison using the program R is prepared using routine data of participating hospitals. Currently, 16 emergency departments (EDs) routinely transfer data of 1,200 to approximately 5,000 patients per month to a federated GEDD-registry datawarehouse. Using various packages in the R environment, hospitals receive a monthly visual report on their data among all participating hospitals. Graphical representations are implemented using column diagrams and box plots. Reports currently contain 25 tables and 40 graphs. Benchmark reports are created in R-Studio and exported using Portable Document Format, PDF. Quarterly expert meetings with the heads of participating EDs are currently performed for further improvements. Preparation of external benchmarking reports with R enables a detailed data presentation for participating hospitals and ED managers.

Entities:  

Keywords:  Benchmarking; Emergency Department; Emergency Service; GNU R; Hospital; LaTeX

Mesh:

Year:  2019        PMID: 31483278     DOI: 10.3233/SHTI190833

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


  2 in total

1.  [AKTIN - The German Emergency Department Data Registry - real-time data from emergency medicine : Implementation and first results from 15 emergency departments with focus on Federal Joint Committee's guidelines on acuity assessment].

Authors:  D Brammen; F Greiner; M Kulla; R Otto; W Schirrmeister; S Thun; S E Drösler; J Pollmanns; S C Semler; R Lefering; V S Thiemann; R W Majeed; K U Heitmann; R Röhrig; F Walcher
Journal:  Med Klin Intensivmed Notfmed       Date:  2020-12-21       Impact factor: 0.840

2.  Length of stay as quality indicator in emergency departments: analysis of determinants in the German Emergency Department Data Registry (AKTIN registry).

Authors:  Ronny Otto; Sabine Blaschke; Wiebke Schirrmeister; Susanne Drynda; Felix Walcher; Felix Greiner
Journal:  Intern Emerg Med       Date:  2022-01-06       Impact factor: 5.472

  2 in total

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