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Open AccessJournal ArticleDOI

TreatmentExplorer: an Interactive Decision Aid for Medical Risk Communication and Treatment Exploration

TLDR
A prototype decision aid, TreatmentExplorer, is described, which supports patients’ needs by presenting treatment outcome, set of symptoms and treatment effects using novel graphic representation with staged animation and text-only narration.
About
This article is published in Interacting with Computers.The article was published on 2016-05-01 and is currently open access. It has received 18 citations till now. The article focuses on the topics: Decision aids & Personalization.

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Citations
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Proceedings ArticleDOI

EventAction: Visual analytics for temporal event sequence recommendation

TL;DR: EventAction is the first attempt at a prescriptive analytics interface designed to present and explain recommendations of temporal event sequences and provides a visual analytics approach to identify similar records and explore potential outcomes.
Proceedings ArticleDOI

Finding Similar People to Guide Life Choices: Challenge, Design, and Evaluation

TL;DR: The PeerFinder prototype enables users to find records that are similar to a seed record, using both record attributes and temporal events found in the records.
Journal ArticleDOI

PROACT: Iterative Design of a Patient-Centered Visualization for Effective Prostate Cancer Health Risk Communication

TL;DR: The iterative design process and results indicate that visualization can be an effective means to communicate complex risk information to patients with low numeracy and visual literacy, but the visualizations need to be carefully chosen to balance readability with ease of comprehension.
Posted Content

Survey on Visual Analysis of Event Sequence Data

TL;DR: This paper reviews the state-of-the-art visual analytics approaches, characterize them with the proposed design space, and categorize them based on analytical tasks and applications.
Journal ArticleDOI

Survey on Visual Analysis of Event Sequence Data

TL;DR: In this article , the state-of-the-art visual analytics approaches, characterize them with their proposed design space and categorize them based on analytical tasks and applications, and identify several remaining research challenges and future research opportunities.
References
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Journal ArticleDOI

Varieties of Uncertainty in Health Care: A Conceptual Taxonomy

TL;DR: A 3-dimensional taxonomy is proposed that characterizes uncertainty in health care according to its fundamental sources, issues, and locus and it is shown how this new taxonomy facilitates an organized approach to the problem of uncertainty inhealth care by clarifying its nature and prognosis and suggesting appropriate strategies for its analysis and management.
Journal ArticleDOI

Animated Transitions in Statistical Data Graphics

TL;DR: This paper investigates the effectiveness of animated transitions between common statistical data graphics such as bar charts, pie charts, and scatter plots, and proposes design principles for creating effective transitions and illustrates the application in DynaVis, a visualization system featuring animated data graphics.
Journal ArticleDOI

Helping Patients Decide: Ten Steps to Better Risk Communication

TL;DR: In this commentary, 10 methods that have been empirically shown to improve patients' understanding of risk and benefit information and/or their decision making are highlighted and recommended.
Journal ArticleDOI

Varieties of Uncertainty in Health Care

TL;DR: In this article, a taxonomy of uncertainty in health care is proposed, which synthesizes diverse theoretical and empirical literature from the fields of communication, decision science, engineering, health services research, and psychology.
Journal ArticleDOI

Storytelling: The Next Step for Visualization

Robert Kosara, +1 more
- 01 May 2013 - 
TL;DR: Presentation-specifically, its use of elements from storytelling-is the next logical step in visualization research and should be a focus of at least equal importance with exploration and analysis.
Related Papers (5)
Frequently Asked Questions (5)
Q1. What is the role of visual representations in the health literacy of patients?

Visual representations provide memory prompts, which reduce the cognitive load of patients during decision-making (Bekker, Hewison and Thornton, 2003). 

The authors believe the use of data from the patient’s health organization, local hospital or from their own doctors will be seen by patients as more relevant, thereby engendering greater trust in the information they receive. 

Deployed in a clinic environment, a fully-operational system would be useful to many patients if access to EHR data for enough similar patients was available from local hospitals or health organizations. 

when participants were asked to identify the side effects, nineteen among the forty-one participants initially included the main effect of the disease (i.e. paralysis) as a side effect. 

Other possible improvements include: changing the color of the graph from green to gray after the average onset of paralysis rather than at the time zero; moving the notification text-box to the side so that it does not overlap any part of the graph; animating the graph elements from left to right to give a sense of time continuity.