Social Network
Application Developing
For Healthcare

Client:
Medlab
Country:
United States, Davie
Core technologies:
.Net MVC / React Native / .Net Core
.Net Framework / MS SQL / AWS
Industry:
Hospital & Health Care

Social Network
Application Developing
For Healthcare

Client:
Medlab
Country:
United States, Davie
Core technologies:
.Net MVC / React Native / .Net Core
.Net Framework / MS SQL / AWS
Industry:
Hospital & Health Care

Product Background

Our client’s team is composed of mathematicians, linguists, and data scientists researching and prototyping artificial intelligence tools. After
developing several products, they noticed a demand for a secure platform that allows healthcare experts to interact with one another, to manage
their resumes and certificates, and to vote and take surveys.

Challenge

By analyzing and following the market, we came up with a way to extend the social network for the healthcare community. What was originally meant to be a compliant, AI-enabled, cross-platform, multifunctional-tool that recognizes medical numbers and images, became a kind of “Google for medicine” — providing the latest industry news and medical tools.

Solution

In order to design an app that is to be a meeting point for the medical community, we based the architecture around the following four
key-activities: visualization, exploring, learning, and sharing knowledge.

Our task included developing and working on:

  • E2E message encryption
  • A modern messaging system complete with attachments, emojis, and badges
  • Chat rooms with access control
  • A semantic search engine
  • Built-in medical calculators and 3D anatomy viewer
  • Private spaces for corporate partners
  • News access based on Big Data processing pipeline and AI recommendations
  • Dashboards for organizations
  • An analysis tool for decision-making
  • GDPR and ISO 27001 compliance

Results

We’re proud to be part of a revolutionary team that has developed a comprehensive global social network for healthcare specialists on multiple levels. Our main-area of contribution mostly involved the messenger functionality with continuous out staffing collaboration with other features.
By taking advantage of the secure atmosphere that our app provides, users can safely publish, collaborate, and analyze medical cases. Big Data processing grants doctors access to enormous databases of medical information — something students can also access to improve their studies.
It doesn’t stop there: any organization in the medical industry can use this technology to optimize their management. The network is continually growing, attracting users from all over the world.

Tech Stack:

FRONT-END
.Net MVC
FRONT-END
React Native
BACK-END
.Net Framework
BACK-END
.Net Core
BD
MS SQL
CLOUD
AWS
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