Peadiatric critical care (PCC) is a highly valued specialist service that saves infants’ and children’s lives. However, having a child needing critical care is a stressful event for parents because their child suddenly requires different technologies within peadiatric intensive care units (PICU) to survive. This often results in persistent post-traumatic stress syndrome in parents even after the child has recovered from critical illness .
One common reason PICU is such a stressful environment for parents is because PCC patients follow complex pathways, from the moment they are admitted to the PICU to the time that they are discharged. These pathways are different for each patient and depending on their severity of illness, they may require different levels of organ support. Parents find it particularly hard to make sense of and navigate these complex pathways, causing them stress and anxiety.
Regardless of the level of organ support a PCC patient requires, the technologies used in PICU routinely generate large volumes of data (e.g. bedside physiological data including heart rate, blood pressure, mechanical ventilator data, etc.) which inform the design of personalized care pathways. However, communicating this complex specialist information in a meaningful way to parents without using medical jargons is particularly hard in the traditional verbal consultation method. Some clinicians will attempt to draw simplified diagrams to explain but this is dependent on the clinicians’ ability to draw and communicate via their rudimentary drawings.
In this proposal, we aim to apply data comics and other techniques from data visualization and data-driven storytelling to provide for an effective communication between clinicians and parents. Data comics is a way of communicating data and data visualizations, pioneered by Bach (2), https://datacomics.github.io. Data comics combine methods from data visualization and data literacy , and they have been found an effective Aims To support clinician-parent communication, our aims with this proposal are as follows:
 Bronner, M.B., Peek, N., Knoester, H., Bos, A.P., Last, B.F. and Grootenhuis, M.A., 2010. Course and predictors of posttraumatic stress disorder in parents after pediatric intensive care treatment of their child. Journal of pediatric psychology, 35(9), pp.966-974.
 Bach, B., Wang, Z., Farinella, M., Murray-Rust, D. and Henry Riche, N., 2018, April. Design patterns for data comics. In Proceedings of the 2018 chi conference on human factors in computing systems (pp. 1-12).
 Wang, Z., Sundin, L., Murray-Rust, D. and Bach, B., 2020, April. Cheat sheets for data visualization techniques. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (pp. 1-13).
 Wang, Z., Wang, S., Farinella, M., Murray-Rust, D., Henry Riche, N. and Bach, B., 2019, May. Comparing effectiveness and engagement of data comics and infographics. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (pp. 1-12).