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User-Friendly Interface for Data Extraction in Living Systematic Reviews

User-Friendly Interface for Data Extraction in Living Systematic Reviews

User-Friendly Interface for Data Extraction in Living Systematic Reviews

User-Friendly Interface for Data Extraction in Living Systematic Reviews

How can we reimagine LSR platforms to support continuous evidence synthesis by leveraging LLMs while maintaining transparency, traceability, and human oversight?

How can we reimagine LSR platforms to support continuous evidence synthesis by leveraging LLMs while maintaining transparency, traceability, and human oversight?

How can we reimagine LSR platforms to support continuous evidence synthesis by leveraging LLMs while maintaining transparency, traceability, and human oversight?

A mockup for a Macbook place on a table for a hair salon website
A mockup for a Macbook place on a table for a hair salon website

For my Customer Experience in Healthcare course, I collaborated with the Mayo Clinic to design an AI-supported, researcher-centered interface that streamlines the Living Systematic Review process, a critical component of evidence-based healthcare. The project focused on reducing manual workload, improving the accuracy of data extraction, and maintaining transparency and trust in AI-assisted workflows.

Client:

Mayo Clinic

My Role:

Product Designer

Year:

2025

Tools Used:

Figma, FigJam

Team:

Andrea Antony, Abhishek Raman, Akhil Kumar, Priyanka Uttarkar

A two screens from the hair salon website
A two screens from the hair salon website
A mockup of a Macbook for the about us page of the hair salon website
A mockup of a Macbook for the about us page of the hair salon website
A two screens of the home page of the website
A two screens of the home page of the website
A two screens of the home page of the website
A screenshot from the Stuff page of the website
A screenshot from the Stuff page of the website
A screenshot from the Stuff page of the website
A screenshot from the Stuff page of the website
A screenshot from the Stuff page of the website

How Did AI Change the Way I Think About UX?


Working on this project pushed me to rethink the role of the designer in systems where AI is not just a tool, but a collaborator. Initially, I assumed AI would simply automate repetitive tasks. But as I designed around LLM's, I realized that it’s not enough to just embed AI features, users need to understand them, trust them, and know when to override them.


This led me to focus on transparency, progressive disclosure, and contextual validation in my design process. Designing for AI has made me a better listener, a more ethical thinker, and a stronger advocate for clarity in complex systems.