Communicating Patient Health Data: A Wicked Problem

Rajabiyazdi, Fateme; Périn, Charles; Oehlberg, Lora; Carpendale, Sheelagh; Tory, Melanie; Keefe, Daniel T.

doi:10.1109/mcg.2021.3112845

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…In our study, we identified that the patient report was not always understood, and this will allow us to refine what information to include and how to make a user-friendly representation of the data generated by MooVeo . By exploring the possibilities of designing individual tailored visualizations representing patient-generated data, we will facilitate patients’ understanding when reviewing their personally generated data [ 21 ].…”

Section: Discussionmentioning

confidence: 99%

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?

Monje,

Grosjean,

Srp

et al. 2023

Sensors

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The healthcare model is shifting towards integrated care approaches. This new model requires patients to be more closely involved. The iCARE-PD project aims to address this need by developing a technology-enabled, home-based, and community-centered integrated care paradigm. A central part of this project is the codesign process of the model of care, exemplified by the active participation of patients in the design and iterative evaluation of three sensor-based technological solutions. We proposed a codesign methodology used for testing the usability and acceptability of these digital technologies and present initial results for one of them, MooVeo. Our results show the usefulness of this approach in testing the usability and acceptability as well as the opportunity to incorporate patients’ feedback into the development. This initiative will hopefully help other groups incorporate a similar codesign approach and develop tools that are well adapted to patients’ and care teams’ needs.

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Section: Discussionmentioning

confidence: 99%

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?

Monje,

Grosjean,

Srp

et al. 2023

Sensors

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“…Arcia et al [53] investigated user preferences and perceived meaning among infographics in health data visualisation and suggested that visualisations should be information-rich, provide context, and use friendly colours. Rajabiyazdi et al [54] designed a technical solution to address the problem of presenting, reviewing, and analysing patient-generated data. They demonstrated that the visualisation's design should include contextual data, allow users to define the amount of information displayed, and offer at-a-glance features.…”

Section: Literature Reviews For the Visualisation Of Mobile Health Datamentioning

confidence: 99%

“…[49] Data visualisations need to be within a single screen. [47,50,51,54] Using proper colour coding can improve the understanding of your visualisations. [51,53] The visualisation should be easy and quick to understand.…”

Section: Design Guideline Referencesmentioning

confidence: 99%

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Visualisation of Information Using Patient Journey Maps for a Mobile Health Application

Lee

Cho

et al. 2023

Applied Sciences

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The demand for healthcare services using mobile devices has surged owing to the ageing population and increasing interest in personal healthcare. In particular, extensive efforts have been made to utilise mobile personal health records (PHRs) to provide personalised healthcare services to users (patients). Users must understand various types of health information that are included in PHRs to ensure successful and continued use of mobile PHRs. In this study, we developed and evaluated a user-friendly method for delivering health information from a PHR using mobile devices with small screens. We first constructed a patient journey map (PJM) for easy verification of disease treatment data from the perspective of the patient. Subsequently, we developed a mobile prototype that organises and visualises personal health information according to the patient-centred PJM and conducted user evaluations with 20 Korean participants. The results demonstrated that information delivery using the proposed prototype was easy to understand, user-friendly, and efficient. This paper highlights the importance of PJMs for patients in the understanding and use of different medical information. The proposed method is expected to promote the development of patient-centred mobile health applications in the future.

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“…Rjabiyazdi et al characterised communicating health data to patients as a “wicked problem” [34]. However, their focus was designing personalised data displays that could be mediated by an expert agent (i.e.…”

Section: Introductionmentioning

confidence: 99%

Visualising Emergency Department Wait Times; Rapid Iterative Testing to Determine Patient Preferences for Displays

Walker

Potter

Hwang

et al. 2022

Preprint

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Visualising patient wait times in emergency departments for patients and families is increasingly common, following the development of prediction models using routinely collected patient demographic, urgency and flow data. Consumers of an emergency department wait time display will have culturally and linguistically diverse backgrounds, are more likely to be from under-served populations and will have varied data literacy skills. The wait times are uncertain, the information is presented when people are emotionally and physically challenged, and the predictions may inform high stakes decisions. In such a stressful environment, simplicity is crucial and the visual language must cater to the diverse audience. When wait times are conveyed well, patient experience improves. Designers must ensure the visualisation is patient-centred and that data are consistently and correctly interpreted. In this article, we present the results of a design study at three hospitals in Melbourne, Australia, undertaken in 2021. We used rapid iterative testing and evaluation methodology, with patients and families from diverse backgrounds as participants, to develop and validate a wait time display. We present the design process and the results of this project. Patients, families and staff were eligible to participate if they were awaiting care in the emergency department, or worked in patient reception and waiting areas. The patient-centred approach taken in our design process varies greatly from past work led by hospital administrations, and the resulting visualisations are very distinct. Most currently displayed wait time visualisations could be adapted to better meet end-user needs. Also of note, we found that techniques developed by visualisation researchers for conveying temporal uncertainty tended to overwhelm the diverse audience rather than inform. There is a need to balance precise and comprehensive information presentation against the strong need for simplicity in such a stressful environment.

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Communicating Patient Health Data: A Wicked Problem

Cited by 8 publications

References 9 publications

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?

Co-Designing Digital Technologies for Improving Clinical Care in People with Parkinson’s Disease: What Did We Learn?

Visualisation of Information Using Patient Journey Maps for a Mobile Health Application

Visualising Emergency Department Wait Times; Rapid Iterative Testing to Determine Patient Preferences for Displays

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