Dental-Referrals approach 2

A System For Federal Dental-Referrals

Dedicated team behind the project

PARTNERSHIP

The client

PROJECT SCOPE

THE CHALLENGE

STRATEGIES AND EXECUTION

what was done

We overhauled the outdated system, enhanced its security, and improved the overall performance. The app is being turned into a full-scale platform, reliable for preserving and managing the patients’ sensitive data. Also, the AWS migration process led to improved app efficiency.

Implemented features

feature:/ 01
AWS migration
As one of the tasks was cutting infrastructure costs, we suggested migrating the platform to a cloud provider. We created a new AWS architecture prototype. The app’s efficiency is being gradually improved simultaneously with the AWS migration process.
feature:/ 02
New EHR and EMR features
Updated the existing Ruby/Ruby on Rails codebase to make the new EHR and EMR features possible.
feature:/ 03
Fresh UI update
With extensive research and evaluation the UI/UX designers reviewed the user flow. The whole new UI design was created to ensure a smooth and convenient user experience as well as increased responsiveness.

Additional features

  1. Put the platform’s tech debt under progressive maintenance.
  2. Developed the app’s successful third-party testing routine.
  3. Increased the percentage of unit testing from 25% to 95%.
Dental-Referrals approach 2
Dental-Referrals approach 1
Dental-Referrals approach 3
ACHIEVEMENTS

Results

From 25% to 95%

Refined the code quality and performance by increasing the unit testing percentage

Cost Saving

Improved financial forecasting; decreased maintenance costs

Improved Business Agility

Faster responses and the ability to implement new features quickly

Operational Resilience

More uptime/less downtime; decreased risk of patients’ sensitive data loss; faster data recovery; failover and load balancing; improved backup features

Daniel

Head of Engineering at Ralabs

Have a concept or facing a tech hurdle?

Share your thoughts. We’ll guide you through possibilities…

You got it right!

Only 21% of people can identify an accessible visual.

your question