A web-interface for a clinical deterioration index model
Project Overview
The project investigates the role of a predictive risk assessment tool aimed at identifying patients at risk of clinical deterioration. Additionally, the project explores the integration of this deterioration index with existing electronic health systems to enhance clinical decision-making and early intervention capabilities.
Solution
This project is under a non-disclosure policy.
My Role: User Experience Designer, Interaction Designer and User Testing specialist.
Methods Used: Affinity Mapping, Semi-Structured Empathy Interviews, Thematic Analysis, Sketching, Wireframing, Stakeholder workshops.
Tools used: Zoom, Miro, Google Workspace, Figma
To better understand the interface's visual design, functionality and its integration within the electronic health system, I adopted a human-centered design approach by engaging directly with our users to gather their insights. I conducted two rounds of user testing, which helped inform key design decisions and principles, ultimately guiding the development of the interface. I used a design thinking model: Empathize- Define- Ideate- Prototype- Test.
Model Functionality and Scalability
It was highlighted that the model needed to be scalable to accommodate the distinct needs of various clinical units, such as adult and pediatric departments.
Role-Based Differences
Nurses, clinicians, doctors and hospitalists, each had unique preferences for the type of information displayed and how they process that information.
Difference in workflow on the floor
It became clear that nurses operated differently on the floor. They preferred to print the risk scores and assess patients by floor, starting from the topmost to the bottommost floors.
Key points
Reflections
Adapting to systemic constraints
During the presentation of the wireframes to the team responsible for integrating the model into the existing electronic health system, I encountered significant system constraints. This challenge forced me to pivot and adjust my design approach to align with the technical limitations, ensuring that the integration process would be seamless and efficient.
Translating qualitative insights to quantitative results
I primarily used qualitative methods and design thinking approaches, however, I needed to translate the findings into a format that could be understood by data scientists, researchers, and clinical stakeholders, ensuring that the results were actionable and accessible to all involved.
Embracing Project Shifts
After presenting the report to both my immediate team and the EHR system team, it was revealed that the project had been reprioritized and rescheduled for 2025. While not every project reaches its conclusion as initially planned, this shift offered an opportunity to reflect on the progress made and anticipate future adjustments.