Debating the Benefits of DIY vs. a Purpose-Built Imaging Platform

The Current State of Medical Imaging Data Management

Researchers face growing challenges accessing and analyzing medical imaging data due to scattered sources, a lack of standardization and limited interoperability. As these issues stall progress and drain resources, organizations face a critical decision: Build a platform from scratch or invest in a third-party solution.

Challenge visual

The Challenge

Dispersed imaging data slows research and drains resources.

  • Imaging data is housed in different locations and departments and lacks standardization
  • Manual workflows drain time and delay high-impact scientific progress
  • Teams must weigh building an in-house platform or deploying a ready-made solution
Solution visual

The Solution

A customizable, purpose-built platform can unlock imaging data while saving time, money and resources.

  • Centralize and standardize imaging data for seamless access and analysis
  • Eliminate manual processes with automation and built-in compliance
  • Deploy quickly with scalable, cloud-native architecture—no years-long build required

Flywheel Core vs. Homegrown Platform:

Homegrown Platform Flywheel Core
Deployment Roadmap 3+ years

Plug and play in weeks.

Automation Requires custom development

Prebuilt algorithms included

Regulatory Compliance Requires manual monitoring

HIPAA, GDPR, GCP and 21 CFR Part 11

Scalability Limited

Built on scalable cloud infrastructure

Collaboration and Security Requires custom security frameworks

Built-in security measures like access controls

Maintenance and Service Requires manual updates

Professional services team for maintenance, training and scientific support