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
Storyboarding
UX/UI Design

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.

>> Hackathon Final Presentation Deck <<

 
 
 
 
 

An On-demand System

Similar to Uber and many on-demand digital services, Medilingo automatically add interpretation assignments to on-duty interpreters based on service request sent by medical staff and the patients.

Toggle below to compare proposed vs. existing dispatch flows from the perspective of patients.

 
 
 

A Service built for Multiple Users

The Medilingo system is designed for not only the interpreters but also the patients, the doctors, the supervisors, and the patient’s families.

 

1. Patient – "more participation & power"


Current Pain Points:

  • understand little about the system

  • long wait time

  • no control over quality of service

Medilingo's Solutions:

  • natural language processing & multi-lingual options

  • information about interpreters & make choices

  • transparent request process

  • experience rating system (English or native language)


2. Medical Staff – "faster & more reliable"


Current Pain Points:

  • Factor in wait time to appointment

  • No feedback channel to interpreters

Medilingo's Solutions:

  • conversation content option for time estimate

  • Feedback portal for intepretation quality


3. On-site Interpreter – "seamless flow"


Current Pain Points:

  • idle and slow time between assignment

  • have little context of the situation prior to the assignment

  • no crisis management or reporting system for hostile situation

Medilingo's Solutions:

  • real-time location and availability tracking

  • auto-queue to enable deployment at all time

  • feedback system for doctors and patients


4. Remote Interpreter – "increase value"


Current Pain Points:

  • remote interpreters are cheaper but less responsive and generally considered a less humanistic experience

  • full transition to remote interpreters is not preferable from both the business and service quality standpoint

Medilingo's Solutions:

  • include remote interpreter as a secondary option of the same system

  • leverage video chat and text-to-speech technology to augment the experience


5. Supervisor – "empower management"


Current Pain Points:

  • significant energy spent on manual scheduling that can be easily automated

  • role is limited to logistics management, leaving little capacity for service quality control

Medilingo's Solutions:

  • automate basic scheduling and let supervisors arrange more complex situations

  • create a feedback system as a basis for service quality control and management


 
 

A Profitable Financial Model

In additional to customer satisfaction, Medilingo brings significant reduction – a 15% saving in operational cost – for the hospital along with increased efficiency for on-site interpreters.

 
 
cost analysis.png
 
 
 

Leverage Technology to Streamline the Process

Medilingo not only offload the supervisors’ work but also give patients more autonomy and sense of involvement.

Toggle below to compare proposed vs. existing service blueprints from the perspective of patients.

 
 
 
 

The Design Process

Given the nature of hackathon, we did a very brief ideation session and quickly went into high-fidelity prototyping. We took advantage of the medical expert resources in the hackathon to speed-date our ideas and quickly pivoted our project the night before our presentation. In addition to the service and interaction design, we also did market research and cost analysis to narrow down our customer segment and create a financial model.

 
 
 

Reflection

One of the biggest shortcoming for this project is the fact that most of us came in with a solution in mind — an on-demand service via mobile app. It fit the making-oriented purpose of hackathon well, but the proposed design can very likely fail to address pain points we didn’t get to identify.

Some of our teammates have since built on this product and is hoping to bring this product to accelerators. Myself and Suzanne (the other designer) have remained close contact with the team to provide UX design support.