Journal Article

DKFZ-2019-02074

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png An Interactive Timeline Visualization for Patient Cohorts in the Oncological Routine: A Use Case on Multiple Myeloma.

Dieter, J. (First author)DKFZ* ; Ahlbrandt, J.DKFZ* ; Knurr, A.DKFZ* ; Al-Hmad, J.DKFZ* ; Ückert, F. (Last author)DKFZ*

2019
IOS Press Amsterdam

Abstract: With the growing interdisciplinarity of cancer treatment and increasing amounts of data and patients, it is getting increasingly difficult for physicians to capture a patient's medical history as a basis for adequate treatment and to compare different medical histories of similar patients to each other. Furthermore, in order to tackle the etiological mechanisms of cancer, it is crucial to identify patients exhibiting a different disease course than their corresponding cohort. Several timeline visualizations have already been proposed. However, the functions and design of such visualizations are always use case dependent. We constructed a cohort timeline prototype mock-up for a specific oncological use case involving multiple myeloma, where the chronological monitoring of various parameters is crucial for patient diagnosis and treatment. Our proposed cohort timeline is a synthesis between elements described in the literature and our own approaches regarding function and design.

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Contributing Institute(s):

1. Med. Informatik in der Translationalen Onkologie (E240)

Research Program(s):

1. 315 - Imaging and radiooncology (POF3-315) (POF3-315)

Appears in the scientific report 2019

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Database coverage:
; NCBI Molecular Biology Database ; SCOPUS

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