Sanjeevani- Meet a Doctor

Inspiration

After covid-19’s worldwide spread, people are afraid to step out of their homes. People are dreadful to visit hospitals even for normal check-ups due to the fear of the spread of the deadly coronavirus. And in such tough times, every problem is not worth the risk of visiting hospitals, waiting for the appointments at the cost of our lives. Also when it comes to health, we want the best treatment and due to lack of doctors in the region or time, it becomes difficult to get a second opinion on the case. Keeping this in mind, technology has to come forward to play its role. So here comes Sanjeevani, where a help-seeker can look for the physician and meet him virtually at their own comfort place.

What it does

The idea behind this project is to make a patient and a doctor meets virtually from anywhere in the world through a video call. The doctor can diagnose the patient through the symptoms and advice whether the physical checkup is required or not. The patient receives the diagnosed report and the prescription from the doctor.

How we built it

We have used Pega 8.5v that supports many new features and functionalities and is capable of integrating various other environments into the application. We used NLP to show google reviews for various hospitals, a QR scanner to verify the identity of the help-seeker, APIs for video calling.

Challenges we ran into

The challenges came with an opportunity to explore the functionality and power of Pega. The biggest challenge that our team faced was to implement the video call feature to our project, we wanted to integrate webRTC with Pega but had to shift to API to implement this feature, it took time but we made it. The other challenge was to implement the component to verify the identity of the help-seeker by scanning the QR code. This is something where we could not find much help from articles, it was challenging but taught us a lot.

Accomplishments that we're proud of

Being just CSAs, we are proud of what our project has turned into. All the lessons we got while completing this project won't be possible either way. This project not only helped us to sharpen our Pega skills but also made us think from the user side who has to stand in queues and risk their lives for just a casual checkup in hospitals. In this project, we are glad that we could implement the following

Video call feature in Pega
NLP to suggest Google Reviews based on the selected choice
QR scanner for Identity Verification
Integrate DocuSign to send the prescription to the help-seeker
Integrating wss portal with chatbot

What we learned

The whole development journey was filled with constant lessons. We tried and failed many a time. Each time we failed we got to learn something new. This whole journey helped us to explore what we call "Pega-Magic". We got a chance to get hands-on experience in Pega with this project.

What's next for Sanjeevani- Meet a Doctor

Since the idea behind the project is to connect the help-seeker with the caregiver from any corner of the world, so our next step is to generate live transcripts and audio translations so that language does not become the barrier to get treated from the best.