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Cited by 13Data Visualization and AnalyticsElectronic Health Records SystemsInnovative Human-Technology Interaction

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Communicating Patient Health Data: A Wicked Problem

Open access
Rajabiyazdi, Fateme, Perin, Charles, Oehlberg, Lora, Carpendale, Sheelagh·2021·IEEE Computer Graphics and Applications
DOI 10.1109/mcg.2021.3112845
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Abstract

Designing patient-collected health data visualizations to support communicating patient data during clinical visits is a challenging problem due to the heterogeneity of the parties involved: patients, healthcare providers, and healthcare systems. Designers must ensure that all parties' needs are met. This complexity makes it challenging to find a definitive solution that can work for every individual. We have approached this research problem-communicating patient data during clinical visits-as a wicked problem. In this article, we outline how wicked problem characteristics apply to our research problem. We then describe the research methodologies we employed to explore the design space of individualized patient data visualization solutions. Lastly, we reflect on the insights and experiences we gained through this exploratory design process. We conclude with a call to action for researchers and visualization designers to consider patients' and healthcare providers' individualities when designing patient data visualizations.

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Registry

Crossref · 10.1109/mcg.2021.3112845

Cites

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Figures

Figure 1 Iterative exploratory process, Patient-Center Design, to design patient health data visualization. We started this process by conducting interviews and focus groups with healthcare providers and patients to 'Discover' challenges they face reviewing health data. Next, we began to 'Design' potential visualizations to present patient health data. Then, we asked healthcare providers to 'Reflect' on the visualization designs. Upon analyzing the reflections, we collaborated with professional developers to 'Deploy' the designs.
Figure 1 Iterative exploratory process, Patient-Center Design, to design patient health data visualization. We started this process by conducting interviews and focus groups with healthcare providers and patients to 'Discover' challenges they face reviewing health data. Next, we began to 'Design' potential visualizations to present patient health data. Then, we asked healthcare providers to 'Reflect' on the visualization designs. Upon analyzing the reflections, we collaborated with professional developers to 'Deploy' the designs.CC-BY · From the PDF
Figure 2 This design board represents our proposed patient health data visualizations. Each column in this board represents various designs for one patient. We included alternative visualization designs in rows for each patient based on their condition, lifestyle, types of data collected, and relationship with healthcare providers.
Figure 2 This design board represents our proposed patient health data visualizations. Each column in this board represents various designs for one patient. We included alternative visualization designs in rows for each patient based on their condition, lifestyle, types of data collected, and relationship with healthcare providers.CC-BY · From the PDF
Figure 3 A healthcare provider reflecting on our proposed visualizations. The results of provider interviews revealed the importance and necessity of not only designing customizable visualizations for patients, but also considering the goals of the individual providers when using the visualizations. With all providers, we observed an initial gravitation to familiar visualizations but also a gradual increasing interest in innovative visualizations.
Figure 3 A healthcare provider reflecting on our proposed visualizations. The results of provider interviews revealed the importance and necessity of not only designing customizable visualizations for patients, but also considering the goals of the individual providers when using the visualizations. With all providers, we observed an initial gravitation to familiar visualizations but also a gradual increasing interest in innovative visualizations.CC-BY · From the PDF
Figure 4 Prototype implementation of the five selected visualization designs after discussions with the healthcare provider team. Each prototype represents one patient data visualization sketch. On the top row (from left), we display blood glucose, pain intensity, and another representation of blood glucose data. On the bottom row, we show blood pressure and stress levels visualizations. In an iterative process, we gained providers' feedback on these designs. For example, providers found the radar glucose data visualization (top left) cluttered for patients, so we removed the crossing lines but also provided two glucose data visualizations.
Figure 4 Prototype implementation of the five selected visualization designs after discussions with the healthcare provider team. Each prototype represents one patient data visualization sketch. On the top row (from left), we display blood glucose, pain intensity, and another representation of blood glucose data. On the bottom row, we show blood pressure and stress levels visualizations. In an iterative process, we gained providers' feedback on these designs. For example, providers found the radar glucose data visualization (top left) cluttered for patients, so we removed the crossing lines but also provided two glucose data visualizations.CC-BY · From the PDF

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Research works printed but not linked: 8

  1. 10.1056/NEJMp1109283 · DOI · Paper page
  2. roberts, 2000, Wicked problems and network approaches to resolution, International Public Management Review, 1, 1
  3. 10.1109/INFVIS.1997.636792 · DOI
  4. 10.20380/GI2020.36 · DOI
  5. 10.1145/3154862.3154885 · DOI · Paper page
  6. 10.1145/3289425 · DOI
  7. 10.1016/B978-0-08-051574-8.50019-4 · DOI
  8. 10.1007/978-3-030-58721-5_19 · DOI

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Metadata

Authors
Rajabiyazdi, F., Perin, C., Oehlberg, L., & Carpendale, S.
Affiliations
  • Carleton University (CA)
  • University of Victoria, Victoria, BC, Canada
  • University of Calgary (CA)
  • Simon Fraser University (CA)
ORCID
Venue
IEEE Computer Graphics and Applications
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Published
2021-11-01
Volume
41
Issue
6
Pages
179-186
ISSN
  • 0272-1716 (ISSN-L)
  • 1558-1756
DOI
10.1109/mcg.2021.3112845
OpenAlex
W3207535187
Cited by
13
References
2
Citations by year
2026: 3 · 2025: 4 · 2024: 1 · 2023: 2 · 2022: 3
FWCI
0.54
Type
journal article
Language
en
Open access
Licence
Locations
  • IEEE Computer Graphics and Applications (publishedVersion)
  • PubMed (publishedVersion)
  • arXiv (Cornell University) (submittedVersion, cc-by)
  • arXiv (Cornell University) (submittedVersion)
  • arXiv (Cornell University) (cc-by)
Funders
  • Alberta Innovates - Technology Futures
  • Natural Sciences and Engineering Research Council of Canada
Topics
  • Physical Sciences › Computer Science › Computer Graphics and Computer-Aided Design › Data Visualization and Analytics
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
  • Physical Sciences › Computer Science › Human-Computer Interaction › Innovative Human-Technology Interaction
Keywords
health data visualization, clinical communication, wicked problems, patient-provider communication, individualized design, design space exploration, patient-centered design, health information systems
MeSH terms
Data Visualization, Delivery of Health Care, Health Personnel, Humans

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