Medical Facebook Bot

MedBot helps people by suggesting a possible diagnosis based on their health complaints and also connects them with a nearby doctor.

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About the client

Docinsider is a German company, which creates and expands a database of doctors and hospitals in Germany. This company basically helps pacients and doctors find each other.

The challenge

The client was looking for a special solution that can help raise awareness of DocInsider services in a friendly and intuitive way. A Facebook Messenger bot was suggested as the best technology to achieve this goal — especially whith such a popular app right at your fingertips.

This chatbot's main goal was to suggest a possible health diagnosis right at the moment when a person feels uncomfortable instead of spending time browsing the web, looking for a doctor and scheduling appointments.

Delivered value

A Facebook Messenger bot that can suggest a possible diagnosis for several most common health issues. It can also provide relevant reference content based on the detected diagnosis.

The process

This project developed in three core phases. The first one included building a proof of concept with a limited amount of diagnosis, which we would then scale up in the second phase. Finally, our third phase had to include a neural network implementation.

We all realized that people would be dealing with a virtual chatbot, and we appreciated that the product owner's team involved us in the process of making it more humanized in how our chatbot communicates with people. In 2 months time, the proof of concept version was delivered.

Services
Requirements engineering
Facebook bot development
Technologies
Node.js
Adonis.js
MySQL database
Facebook API
Industry
Healthcare
Facebook medical bot
Facebook medical bot
Facebook medical bot

How it works

sheme Created with Sketch. Database Chat & Calls Chat History REST API Chat App Mobile Device

We are so glad we decided to work with the Lemberg team, who developed the first version of our MedBot and provided clean and well-documented code. We appreciate their reliability and professional competence. We are looking forward to releasing the next versions of our product, including machine learning algorithm implementation. 

Natalia Kontsour-Selivanov
CEO DocInsider GmbH