10.2312/VCBM.20191234
preha: Establishing Precision Rehabilitation with Visual Analytics
Bernold, Georg
Matkovic, Kresimir
Gröller, Eduard
Raidou, Renata Georgia
The Eurographics Association
2019
978-3-03868-081-9
2070-5786
https://diglib.eg.org/bitstream/handle/10.2312/vcbm20191234/079-089.pdf
11 pages
This design study paper describes preha, a novel visual analytics application in the field of in-patient rehabilitation. We conducted extensive interviews with the intended users, i.e., engineers and clinical rehabilitation experts, to determine specific requirements of their analytical process.We identified nine tasks, for which suitable solutions have been designed and developed in the flexible environment of kibana. Our application is used to analyze existing rehabilitation data from a large cohort of 46,000 patients, and it is the first integrated solution of its kind. It incorporates functionalities for data preprocessing (profiling, wrangling and cleansing), storage, visualization, and predictive analysis on the basis of retrospective outcomes. A positive feedback from the first evaluation with domain experts indicates the usefulness of the newly proposed approach and represents a solid foundation for the introduction of visual analytics to the rehabilitation domain.
Eurographics Workshop on Visual Computing for Biology and Medicine
Visual Analytics in Medicine and Biology
79
89
Georg Bernold, Kresimir Matkovic, Eduard Gröller, and Renata Georgia Raidou
CCS Concepts: Human-centered computing → Visual analytics; Applied computing → Life and medical sciences
Human
centered computing → Visual analytics
Applied computing → Life and medical sciences
079-089
Paper