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European Collaboration for Healthcare Optimisation (ECHO) Data Model Specification

Estupiñán-Romero, Francisco; Baixauli-Pérez, Cristóbal; Martínez-Lizaga, Natalia; Angulo-Pueyo, Ester; Ridao-López, Manuel; Seral-Rodríguez, Miriam; Comendeiro-Maaloe, Micaela; Bernal-Delgado, Enrique

The European Collaboration for Healthcare Optimisation (ECHO) Data Model Specification corresponds to a technical report documenting the conceptual, logical and physical data models and main requirements and decisions guiding the final design of the ECHO knowledge infrastructure. 

This document provides further technical details on the data management of the ECHO project, adding useful hints on how the ECHO Consortium solved main technical and semantic interoperability challenges to enable international health system performance comparison based on the re-use of healthcare administrative data.

ECHO Consortium: IACS's team (E. Bernal-Delgado, S. García-Armesto, N. Martínez, M. Seral, F. Estupiñán, M. Comendeiro, E. Angulo-Pueyo, M. Ridao and C. Baixaulí, J. Librero J as affiliated researchers), University of Southern Denmark's team (T. Christiansen, L.C. Thygesen), University of York's team (K. Bloor, R. Cookson and N. Gutacker), University Nova de Lisboa 's team (C. Mateus, C. Nunes and I. Joaquim), Institute of Public Health of Ljubljana's team (A.M. Yazbeck, M. Galsworthy and T. Albrecht), UMIT's team (J. Munck and B. Gu¨ntert) and EHMA's team (J. Bremner, P. Giepmans and O. Dix). This report has been entirely generated with R, using RMarkdown package among others (see sessionInfo() output below) --- R version 3.6.0 (2019-04-26) Platform: x86_64-w64-mingw32/x64 (64-bit) Running under: Windows 7 x64 (build 7601) Service Pack 1 Matrix products: default locale: [1] LC_COLLATE=Spanish_Spain.1252 LC_CTYPE=Spanish_Spain.1252 LC_MONETARY=Spanish_Spain.1252 LC_NUMERIC=C [5] LC_TIME=Spanish_Spain.1252 attached base packages: [1] stats graphics grDevices utils datasets methods base other attached packages: [1] htmlwidgets_1.3 htmltools_0.3.6 png_0.1-7 DiagrammeR_1.0.1 forcats_0.4.0 [6] stringr_1.4.0 dplyr_0.8.1 purrr_0.3.2 readr_1.3.1 tidyr_0.8.3 [11] tibble_2.1.1 ggplot2_3.1.1 tidyverse_1.2.1 datamodelr_0.2.2.9002 loaded via a namespace (and not attached): [1] tidyselect_0.2.5 xfun_0.7 Rook_1.1-1 haven_2.1.0 lattice_0.20-38 colorspace_1.4-1 [7] generics_0.0.2 viridisLite_0.3.0 XML_3.98-1.20 rlang_0.3.4 pillar_1.4.0 glue_1.3.1 [13] withr_2.1.2 RColorBrewer_1.1-2 modelr_0.1.4 readxl_1.3.1 plyr_1.8.4 munsell_0.5.0 [19] gtable_0.3.0 cellranger_1.1.0 rvest_0.3.4 visNetwork_2.0.7 knitr_1.22 broom_0.5.2 [25] Rcpp_1.0.1 scales_1.0.0 backports_1.1.4 jsonlite_1.6 rgexf_0.15.3 gridExtra_2.3 [31] brew_1.0-6 hms_0.4.2 digest_0.6.18 stringi_1.4.3 grid_3.6.0 influenceR_0.1.0 [37] cli_1.1.0 tools_3.6.0 magrittr_1.5 lazyeval_0.2.2 crayon_1.3.4 pkgconfig_2.0.2 [43] xml2_1.2.0 downloader_0.4 lubridate_1.7.4 assertthat_0.2.1 httr_1.4.0 rstudioapi_0.10 [49] viridis_0.5.1 R6_2.4.0 igraph_1.2.4.1 nlme_3.1-139 compiler_3.6.0
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Publication date:
June 24, 2019
DOI:
10.5281/zenodo.3253684

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Keyword(s):
ECHO data model benchmarking quality of health care quality indicators, health care health status indicators data analysis data collection data curation
Grants:
European Commission:
  • ECHO - European Collaboration for Healthcare Optimization (242189)
Communities:
License (for files):
Creative Commons Attribution 4.0 International

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