Novel Framework Combining Health Records with Medical Algorithms

Florian Schmidt; Vincent Hennig; Sarah Köhler; Marcel Wallschläger; Anton Gulenko; Hartmut Schmidt; Odej Kao

11th EAI International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Novel Framework Combining Health Records with Medical Algorithms

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1145/3154862.3154902,
    author={Florian Schmidt and Vincent Hennig and Sarah K\o{}hler and Marcel Wallschl\aa{}ger and Anton Gulenko and Hartmut Schmidt and Odej Kao},
    title={Novel Framework Combining Health Records with Medical Algorithms},
    proceedings={11th EAI International Conference on Pervasive Computing Technologies for Healthcare},
    publisher={ACM},
    proceedings_a={PERVASIVEHEALTH},
    year={2018},
    month={1},
    keywords={knowledge visualization health records medical guidelines},
    doi={10.1145/3154862.3154902}
}

Florian Schmidt
Vincent Hennig
Sarah Köhler
Marcel Wallschläger
Anton Gulenko
Hartmut Schmidt
Odej Kao
Year: 2018
Novel Framework Combining Health Records with Medical Algorithms
PERVASIVEHEALTH
ACM
DOI: 10.1145/3154862.3154902

Florian Schmidt¹^,*, Vincent Hennig¹, Sarah Köhler¹, Marcel Wallschläger¹, Anton Gulenko¹, Hartmut Schmidt², Odej Kao¹

1: Technische Universität Berlin
2: Universitätsklinikum Münster

*Contact email: florian.schmidt@tu-berlin.de

Abstract

Information overload in the medical field is both visible by the increased number of publications as well as by the volume of patient data. In order to cope with this problem, we propose a novel framework combining patient’s health records with medical knowledge, which is based on medical algorithms from frequently used guidelines. The framework uses new types of animation and layout algorithms for visualizing knowledge models in health records. At the Münster University Hospital the framework is already in prototypical use for education and communication purposes.

Keywords: knowledge visualization health records medical guidelines

Published: 2018-01-16
Publisher: ACM

: http://dx.doi.org/10.1145/3154862.3154902