Healthcare Recommendation

Inspiration

Healthcare Data

What it does

Assists patients in finding a suitable healthcare provider for their specific medical condition

How we built it

1. EAD to identify relevant healthcare provider information
2. Set up a Genie space; Tested and enabled the Genie API
3. Integrated Claude desktop with Genie API for querying
4. Conducted initial UAT to evaluate performance

Challenges we ran into

1. Comprehensively understand the data
2. Integrate Genie API into Claude
3. Performance evaluation
4. Scaling abilities
   

Accomplishments that we're proud of

We have an demo UI ready. It works well.

What we learned

1. Created Genie space;
2. Tested and enabled the Genie API;
3. Demonstrate the feasibility of using Genie API on top of an external platform (Claude desktop)
4. Latency (5-10 seconds, less than 30 seconds)

What's next for Healthcare Recommendation

1. Conduct in-depth data exploration and analysis
2. Collect end-user feedback and requirements
3. Develop comprehensive evaluation pipelines
4. Optimize system performance to reduce latency and enhance end-user satisfaction

Built With

• claude
• genie