Zabota

Developed a web application with integration of medical systems, improving patient interaction and automating the notification process – MedTech

Project amount

$100,000+

Timeline

2022 - present

Team

7 people

Stack

React, C#, Rabbit, Redux toolkit, Typescript, Primereact, SasS

About the Client

ZABOTA 2.0 is a smart system for working with patient databases. The service helps bring patients back to the clinic through targeted mailings. With this application, the clinic increases revenue by working with its existing base and saves on advertising budget for attracting new patients.

Website:
zabota.tech

Main request

At the time of contact, the company had its own desktop application. Our task was to develop a web interface with integration of the medical information system, reflecting three types of mailings for clients and the ability to view individual patient responses.

What we did

Developed a custom administrative system based on the client's basic desktop application design

Implemented integrations with the client's main database for system data integration

Connected to users' medical systems for data collection

Integrated an external messaging service for centralized message dispatches

Built a branched microservice architecture

Problem solving

We addressed the client's needs by creating a robust administrative system with key integrations and a microservice-based architecture. This approach ensured relevant data for users, stable system performance for the client, reliable message dispatches, and the potential for future scaling.

Result

The team implemented a complex microservice architecture, ensuring data flow from hundreds of devices, as well as analysis of this data and telemetry, for timely response to alarm signals (emergency situations on site, such as a patient fall) and calibration of device data for more accurate determination of space and patients within it (for example, which room they are in, whether they are in a hospital bed, etc.). Today, there are >70 corporate clients in the database and the application sends >50,000 messages per day.