Talks and Poster Presentations (with Proceedings-Entry):

N. Popper, B. Glock, F. Endel, G. Endel:
"Deterministic Record Linkage of Health Data as Preparatory Work in Modelling and Simulation - Use Case: Hospitalizations in Austria";
Talk: IWISH 2017 - The International Workshop on Innovative Simulation for Health Care, Barcelona, Spain; 2017-09-18 - 2017-09-20; in: "Proceedings of the 6th International Workshop on Innovative Simulation for Health Care", A. Bruzzone, M. Frascio, F. Longo (ed.); I3M, Rende, Italy (2017), ISBN: 978-88-97999-89-8; 44 - 49.

English abstract:
Modelling and simulation as dicision support in the health care sector often requires real world data. Complex models covering a variety of diffeent areas within one model for example outpatient and inpatient sector together, if treatment paths are examined, utilize different data sources. If those data sources are not linked, only point images are possible or the modeller has to define assumptions covering the gap of unlinked data. Therfore, a good record linkage allows more precise and reliable models and s a consequence better dicision support. Within this paper a deterministic record linkage of to different data sources of tho inpatient sector is proposed and tested. The results show a matching of 99.94 % for initally 1.27 million data entries of one source. The linkage gives additional access to data from the outpatient sector. More information concerning a single patient is available, which can be utilizied in different desicsion support models.

Electronic version of the publication:

Created from the Publication Database of the Vienna University of Technology.