Show simple item record

dc.contributor.authorMüller, Julianeen_US
dc.contributor.authorZebralla, Veiten_US
dc.contributor.authorWiegand, Susanneen_US
dc.contributor.authorOeltze-Jafra, Steffenen_US
dc.contributor.editorLandesberger, Tatiana von and Turkay, Cagatayen_US
dc.date.accessioned2019-06-02T18:19:25Z
dc.date.available2019-06-02T18:19:25Z
dc.date.issued2019
dc.identifier.isbn978-3-03868-087-1
dc.identifier.urihttps://doi.org/10.2312/eurova.20191129
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/eurova20191129
dc.description.abstractThe monitoring and planning of cancer aftercare are commonly based on clinical, physiological and caregiver-reported outcome measures. More recently, patient-reported outcome (PRO) measures, capturing social, psychological, and financial aspects, are gaining attention in the course of establishing a patient-centered healthcare system. PROs are acquired during regular aftercare consultations where patients are asked to fill in questionnaires. We present an interactive visual analysis (IVA) approach to investigating PROs. The approach is applied in clinical routine during the aftercare consultation to assess the development of the particular patient, to compare this development to those of similar patients, and to detect trends that may require an adaptation of the aftercare strategy. Furthermore, the approach is employed in clinical research to identify groups of similarly developing patients and risk factors for poor outcomes, as well as to visually compare patient groups. We demonstrate the IVA approach in analyzing PROs of 1025 head and neck cancer patients. In an evaluation with 20 clinicians, we assessed the usefulness and usability of a prototypical implementation.en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectHealth care information systems
dc.subjectHealth informatics
dc.titleInteractive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercareen_US
dc.description.seriesinformationEuroVis Workshop on Visual Analytics (EuroVA)
dc.description.sectionheadersApplications of Visual Analytics
dc.identifier.doi10.2312/eurova.20191129
dc.identifier.pages78-82


Files in this item

Thumbnail
Thumbnail
Thumbnail

This item appears in the following Collection(s)

Show simple item record