Detailed patient level data is meant to be an informed representation of the patient and what happened to the patient during the course of the study. These visualisations can help to get a quick overview on demographic information as well as exposure, concomitant medications, adverse events and laboratory data.
The visualisations below present patient level data in one plot or multiple aligned plots. Interactive visualisations are shown allowing to expand and collapse selected details. The use of color and pre-attentive attributes is supporting easy interpretation of the data.
This visualisations gives a time-aligned overview on study drug intake, adverse events, laboratory values and other information with very little clutter. Blood pressure is given as line plot with values. Color coding is used for abnormal values and AE severity.
Multiple plots with aligned time axis are showing drug exposure, adverse events and concomitant medication. Lab values over time and changes are displayed in facet plots with highlighted abnormal values.
The app can be found here.
This table with embedded graphics is giving an overview over all subjects with the option to expand and collapse additional information. Demographic data are displayed in symbols, gauge charts, text, color coded bar charts, or color supported descriptive text respectively. Population ranges are given as gray background where possible.
This is an example out of the context of the challenge. It’s showing a possibility to include outcome values over time and dosing in addition to textual information.
No code has been submitted.
The code can be found here.
No code has been submitted.
The code can be found here.
For attribution, please cite this work as
Kirsch (2022, July 13). VIS-SIG Blog: Wonderful Wednesdays July 2022. Retrieved from https://graphicsprinciples.github.io/posts/2022-08-14-wonderful-wednesdays-july-2022/
BibTeX citation
@misc{kirsch2022wonderful, author = {Kirsch, Bodo}, title = {VIS-SIG Blog: Wonderful Wednesdays July 2022}, url = {https://graphicsprinciples.github.io/posts/2022-08-14-wonderful-wednesdays-july-2022/}, year = {2022} }