Dashboard Development for JupyterHealth Platform
Maryam Vareth, Researcher
Berkeley Institute for Data Science (BIDS)
Applications for Spring 2025 are closed for this project.
Our project focuses on developing a clinician-facing platform designed to enhance the lives of individuals with diabetes and hypertension. By integrating real-time continuous glucose monitoring (CGM) and blood pressure (BP) data into a dynamic, interactive dashboard, we empower healthcare professionals with comprehensive insights into patient health, enabling more personalized and effective care. This approach not only facilitates tailored treatment plans but also strengthens patient engagement and understanding of their condition.
We are seeking motivated students to assist with the development of these dashboards for our JupyterHealth Platform. The project involves analyzing clinical data and creating visualizations to support use cases such as hypertension management.
Role: Tasks and Responsibilities:
1. Design and Development of Dashboards:
• Build dashboards using Voila to convert Jupyter Notebooks into interactive web applications.
• Collaborate with the team to create clinician-friendly dashboards that visualize key clinical metrics like blood pressure trends or glucose variability.
2. Integration with Clinical Data Standards:
• Learn about SMART on FHIR standards and Open mHealth format and ensure dashboard outputs align with these standards.
3. Testing and Optimization:
• Test dashboard performance and usability in a simulated environment.
• Gather feedback from team members to iteratively improve the interface and functionality.
4. Documentation and Workflow Support:
• Document the process of creating and deploying dashboards using Voila.
• Assist in building templates for reusable dashboard components.
Qualifications: • Interest in open-source software development, data science, and healthcare research
• Great teamwork (e.g. communication skills, punctuality, organization)
• Proficiency in Illustrator, Microsoft Word, Excel,and PowerPoint
• Majoring in BioE, Public Health, Data Science, Health Sciences, or other related discipline
• Working knowledge of version control (e.g. GitHub); Familiarity with Python, Project Jupyter ecosystem, Hugo, and MyST-based website; Jupyernotebook, Viola, Familiarity with data analytics for analysis tasks
Hours: 9-11 hrs
Related website: https://jupyterhealth.org/
Related website: https://cdss.berkeley.edu/news/berkeley-launches-agile-metabolic-health-and-open-platforms-initiative