MEDILINGO.

Optimizing medical interpreters assignments and deployments in the hospital

 

for MIT Hacking Health (2018)

 

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Duration

2 days

Team

Angela Wang  | Chris Kwan | Jonathan Chen | Julie Berez | Ryan Graue | Serena Li | Suzanne Choi   

My Role

Facilitation
UX/UI Design
Storyboarding

Award

Best Use of Athena Health API


 

The Challenge

While in high demand, in-person interpreters are poorly utilized due to inefficient dispatching and slow response times. Most paging systems today rely on an admin to deploy interpreters using pagers, landlines, and printed schedules.

 

The Outcome

An on-demand solution that streamlines access to medical interpreters by optimizing interpreter assignments. Medilingo's system can more efficiently utilize on-staff interpreters and loop in video interpreters when demand exceeds supply.

>> Our final presentation deck

 
 
 
 
 

Design process documentation coming soon!