Visualising Emergency Department Wait Times; Rapid Iterative Testing to Determine Patient Preferences for Displays
Walker, K.; Potter, E.; Hwang, I.; Dwyer, T.; Egerton-Warburton, D.; Joe, K.; Hutton, J.; Freeman, S.; Flynn, D.
Show abstract
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.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A comparison of self-triage tools to nurse driven triage in the emergency department 95%
- Evaluating user experience with immersive technology in simulation-based education: a modified Delphi study with qualitative analysis 94%
- Nurses’ experience of using video consultation in a digital care setting and its impact on their workflow and communication 94%
Similar papers in this journal
- Benefits and Challenges of Using Virtual Primary Care During the COVID-19 Pandemic: From Key Lessons to a Framework for Implementation 94%
- Theory of radiologist interaction with instant messaging decision support tools: a sequential-explanatory study 93%
- Defining Destigmatizing Design Guidelines for Use in Sexual Health-Related Digital Technologies: A Delphi Study 93%
Similar papers in this journal
- Improving communications in PPE: A solution for ‘landline’ telephone communication 93%
- Variation in ambulance pre-alert process and practice: Cross-sectional survey of ambulance clinicians 93%
- Emergency medicine patient wait time multivariable prediction models: a multicentre derivation and validation study 92%
Similar papers in this journal
- Improving emergency department patient-doctor conversation through an artificial intelligence symptom taking tool: an action-oriented design pilot study 96%
- The potential for digital patient symptom recording through symptom assessment applications to optimize patient flow and reduce waiting times in Urgent Care Centers: a simulation study 96%
- Exploring Patient and Staff Experiences of Video Consultations During COVID-19 in an English Outpatient Care Setting: Secondary Data Analysis of Routinely Collected Feedback Data 94%
Similar papers in this journal
- Evaluation of Self-Directed Learning Activities at King Abdulaziz University: A Qualitative Study of Faculty Perceptions 91%
- YouTube as an information source during the Coronavirus disease (COVID-19) pandemic: Evaluation of the Turkish and English content 89%
- Navigating the Crisis: A Cross-sectional Survey Analysis of Resident Doctors' Experiences of Specialty Training and Employment in Today's NHS 88%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.