ReportDEX

Inspiration

Due to the outbreak of COVID-19, non-urgent healthcare services had reduced drastically and there is an increasing demand for remote outpatient solutions.

Current telemedicine apps help to connect patients to doctors, however, not all patients have access to these technologies due to physical impairments.

In light of this, we would like to build a symptoms reporter to tackle the digital divide by allowing visually impaired patients to report their symptoms through Google assistant, a voice-enabled AI software that leverages machine learning and natural language processing (NLP), and visualizing the health data collected for healthcare providers

What it does

The app collects personal information such as name and date of birth to help healthcare providers to identify the patient, and record the details of symptoms reported by patients.

How we built it

Conversational design using voiceflow
Deploy via Google Actions Console
Database using Firebase

Challenges we ran into

None of us has used voiceflow before, we watched the whole series of voiceflow tutorial videos and built the app from scratch.

We encountered a bunch of bugs during the process of conversational design (hard to predict how humans react lol), and gone through a long process of debugging.

Accomplishments that we're proud of

We built a functional app!

What we learned

We learnt a lot about conversational deisgn and using voiceflow to build a voice app!

What's next for ReportDEX

book appointments
support other platforms (e.g. Alexa)
support offline (e.g. SMS/ phone call)
screen for keywords that indicates the severity & schedule an appointment when keywords detected