Presentation
DH19 - What Human Factors Improves When Implementing Data Visualization Dashboards
SessionPoster Session 2
DescriptionIntroduction
Healthcare systems capture vast amounts of data from patients, providers, encounters, locations of service, and more. When employees and organizational leaders alike need to make “data-driven decisions”, they rarely have the time to drill down into raw data, and instead look to data experts to provide them with visualizations that can aid in intuitive understanding. However, these individuals may not have time to update or generate new visualizations “à la carte”, and therefore create interactive data dashboards which can present up-to-date and customizable views to many different users across the system. While dashboards are no new phenomenon, and despite the many tools available to aid in the creation of dashboards, many still struggle to create visualizations that are usable, intuitive, and impactful (1,2,3,4). Human Factors plays a vital role in the creation and implementation of dashboards across healthcare systems. A user-centered design approach ensures that data visualizations are intuitive and meaningful to the end users.
Approach
The [unidentified healthcare organization] has implemented many dashboards to better manage data governance as well as for standardization of information throughout the system. Through iterative design involving frontline nurses and providers throughout the development, the dashboards become a trusted source of truth. Creating a sustainable process to gather and validate the data behind the scenes further reduces the time burdens of front line staff and committees.
Creating dashboards was identified as a need to make several improvments: The reduction of time to create visualizations throughout the system was a primary concern to keep the clinical staff focused on leveraging the data instead of creating single use graphs/presentations. Standardizing how data was accessed and visualized throughout the system made it easier to digest the information and know how to interact with the dashboards. Identifying and validating the sources of truth to reduce confusion and streamline the trusted data. However, the process is not without drama. We will describe how the dashboard design answers key questions and improve metrics for some of the following Hospital Aquired Infections, Readmissions, Falls, Patient Experience Program Implementation, Vaccination Qualtiy Assurance checks, and Blood Administration Documentation.
Results
By building a better shared awareness of system priorities, we can create a pathway to selecting interventions that work, and avoid wasting time and resources that are frequently too scarce. By sharing the framework used to implement multiple dashboards, and by discussing the experience of building, launching, and fixing dashboards, this talk hopes to pass on knowledge to guide others who wish to implement dashboards with a standardized design in healthcare.
1. Chrysantina, A., & Sæbø, J. I. (2019). Assessing user-designed dashboards: A case for developing data visualization competency. In Information and Communication Technologies for Development. Strengthening Southern-Driven Cooperation as a Catalyst for ICT4D: 15th IFIP WG 9.4 International Conference on Social Implications of Computers in Developing Countries, ICT4D 2019, Dar es Salaam, Tanzania, May 1–3, 2019, Proceedings, Part I 15 (pp. 448-459). Springer International Publishing.
2. Zhuang, M., Concannon, D., & Manley, E. (2022). A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), 1715-1731.
3. Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D. (2018). What do we talk about when we talk about dashboards?. IEEE transactions on visualization and computer graphics, 25(1), 682-692.
4. Almasi, S., Bahaadinbeigy, K., Ahmadi, H., Sohrabei, S., & Rabiei, R. (2023). Usability evaluation of dashboards: A systematic literature review of tools. BioMed Research International, 2023(1), 9990933.
Healthcare systems capture vast amounts of data from patients, providers, encounters, locations of service, and more. When employees and organizational leaders alike need to make “data-driven decisions”, they rarely have the time to drill down into raw data, and instead look to data experts to provide them with visualizations that can aid in intuitive understanding. However, these individuals may not have time to update or generate new visualizations “à la carte”, and therefore create interactive data dashboards which can present up-to-date and customizable views to many different users across the system. While dashboards are no new phenomenon, and despite the many tools available to aid in the creation of dashboards, many still struggle to create visualizations that are usable, intuitive, and impactful (1,2,3,4). Human Factors plays a vital role in the creation and implementation of dashboards across healthcare systems. A user-centered design approach ensures that data visualizations are intuitive and meaningful to the end users.
Approach
The [unidentified healthcare organization] has implemented many dashboards to better manage data governance as well as for standardization of information throughout the system. Through iterative design involving frontline nurses and providers throughout the development, the dashboards become a trusted source of truth. Creating a sustainable process to gather and validate the data behind the scenes further reduces the time burdens of front line staff and committees.
Creating dashboards was identified as a need to make several improvments: The reduction of time to create visualizations throughout the system was a primary concern to keep the clinical staff focused on leveraging the data instead of creating single use graphs/presentations. Standardizing how data was accessed and visualized throughout the system made it easier to digest the information and know how to interact with the dashboards. Identifying and validating the sources of truth to reduce confusion and streamline the trusted data. However, the process is not without drama. We will describe how the dashboard design answers key questions and improve metrics for some of the following Hospital Aquired Infections, Readmissions, Falls, Patient Experience Program Implementation, Vaccination Qualtiy Assurance checks, and Blood Administration Documentation.
Results
By building a better shared awareness of system priorities, we can create a pathway to selecting interventions that work, and avoid wasting time and resources that are frequently too scarce. By sharing the framework used to implement multiple dashboards, and by discussing the experience of building, launching, and fixing dashboards, this talk hopes to pass on knowledge to guide others who wish to implement dashboards with a standardized design in healthcare.
1. Chrysantina, A., & Sæbø, J. I. (2019). Assessing user-designed dashboards: A case for developing data visualization competency. In Information and Communication Technologies for Development. Strengthening Southern-Driven Cooperation as a Catalyst for ICT4D: 15th IFIP WG 9.4 International Conference on Social Implications of Computers in Developing Countries, ICT4D 2019, Dar es Salaam, Tanzania, May 1–3, 2019, Proceedings, Part I 15 (pp. 448-459). Springer International Publishing.
2. Zhuang, M., Concannon, D., & Manley, E. (2022). A framework for evaluating dashboards in healthcare. IEEE Transactions on Visualization and Computer Graphics, 28(4), 1715-1731.
3. Sarikaya, A., Correll, M., Bartram, L., Tory, M., & Fisher, D. (2018). What do we talk about when we talk about dashboards?. IEEE transactions on visualization and computer graphics, 25(1), 682-692.
4. Almasi, S., Bahaadinbeigy, K., Ahmadi, H., Sohrabei, S., & Rabiei, R. (2023). Usability evaluation of dashboards: A systematic literature review of tools. BioMed Research International, 2023(1), 9990933.
Event Type
Poster Presentation
TimeTuesday, April 14:45pm - 6:15pm EDT
LocationFrontenac Foyer