Health Timeline Insight-based Dataset

Abstract: 

Electronic Health Records and clinical longitudinal data have been visualized in a wide range of applications to assist the understanding of the status and evolution of patients. Few studies have objectively assessed these applications. We utilized the insights-based method to objectively assess the effectiveness of an application that visualizes longitudinal data from the Australian national electronic health record. Five professional psychiatrists took part in the assessment study. The participants were shown separately de-identified patient data in the timeline visualization application and in a tabular representation as the control condition.

The timeline visualization assisted the professionals to identify more complex patterns and to derive insights with significantly higher value in a shorter time. However, the participants took more time to derive medium to low level insights with the timeline visualization compared to the tabular representation. The insight-based assessment could be used in future research to methodologically and consistently compare different approaches to clinical data visualizations.

Instructions: 

The following are the insights obtained during the clinical data visualization study for the Health Timeline experiment. The insight is the transcription of findings during the experiment. The data contains a total of 50 experiments. The visualized clinical de-identified data corresponds to 5 patients. The visualization is either table or timeline. The table is the control group with tabular data and the timeline is the Health Timeline software that is under testing. Time is represented in seconds since the beginning of the session. The value is assigned based on the concepts of depth and complexity explained in the insight-based methodology by C. North and applied by A. Ledesma et al. in a similar study published in 2015 IEEE Engineering in Medicine and Biology Conference.

 

References:

North, Chris. "Toward measuring visualization insight." IEEE computer graphics and applications 26.3 (2006): 6-9. http://ieeexplore.ieee.org/abstract/document/1626178/

Ledesma, Andres, et al. "The shape of health: A comparison of five alternative ways of visualizing personal health and wellbeing." Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE. IEEE, 2015. http://ieeexplore.ieee.org/abstract/document/7320161/

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Dataset Details

Citation Author(s):
Andres Ledesma
Submitted by:
Andres Ledesma
Last updated:
Mon, 10/16/2017 - 07:30
DOI:
10.21227/H2KD14
Data Format:
 
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[1] Andres Ledesma, "Health Timeline Insight-based Dataset", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2KD14. Accessed: Feb. 17, 2018.
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doi = {10.21227/H2KD14},
url = {http://dx.doi.org/10.21227/H2KD14},
author = {Andres Ledesma },
publisher = {IEEE Dataport},
title = {Health Timeline Insight-based Dataset},
year = {2017} }
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T1 - Health Timeline Insight-based Dataset
AU - Andres Ledesma
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PB - IEEE Dataport
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Andres Ledesma. (2017). Health Timeline Insight-based Dataset. IEEE Dataport. http://dx.doi.org/10.21227/H2KD14
Andres Ledesma, 2017. Health Timeline Insight-based Dataset. Available at: http://dx.doi.org/10.21227/H2KD14.
Andres Ledesma. (2017). "Health Timeline Insight-based Dataset." Web.
1. Andres Ledesma. Health Timeline Insight-based Dataset [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2KD14
Andres Ledesma. "Health Timeline Insight-based Dataset." doi: 10.21227/H2KD14