NHS-Onboard (OpenAI × Anima Health hackathon)
An AI-assisted, multilingual platform that helps people new to the NHS bring their health records with them. Third place and £2,500.
Draft note: Case study awaiting project facts. This scaffold is visible only in the draft build.
Problem
People new to the NHS may arrive with foreign healthcare records, information spread across documents, or history that exists only in their memory.
Intended users
To add: Who was this for? Distinguish intended users from people who have used it.
My contribution
I led the team, broke the problem down and gave each member clear ownership. The idea came from a problem I first noticed in patient care. My teammates Tahmid Azam, Alisha Sri-Ram and Isum Nanomi Arachchige each took ownership of a major part of the build.
Implementation
NHS-Onboard collates and translates records, identifies gaps and uses an AI voice agent to ask follow-up questions. It then produces a structured summary and suggests possible actions for clinician review. Every clinical decision stays with the clinician. Built as a working prototype in eight hours.
Important tradeoffs
To add: Describe a decision, the alternatives and why you chose this approach.
Verification
To add: What did you test, review or observe? Add evidence and limitations.
Outcomes
Third place and £2,500 among 60 builders selected from more than 1,200 applicants. We were the highest-placed all-student team.
Relevant links
Draft note: Add repository, demo and supporting evidence only when supplied or verified.