FREE CASE STUDY
Saving IT Time and Money
Download a free case study to learn how one of the nation’s largest health system’s IT team used Ferrum to save hundreds of thousands of dollars per AI deployment.
Keep your Patient Data Private
Ferrum’s AI Orchestrator is fully managed to reduce maintenance cost and privately deployed to ensure the security of your patient data.
Ferrum scales third party applications across millions of patients in both the private cloud and in your data centers, getting AI in the hands of your doctors today while futureproofing your organization for tomorrow.
Fast
Speed up application turnaround times by collocating patient data.
Efficient
Save on network costs by minimizing cloud traffic and support costs
Safe
Keep patient data within your firewall and meeting your security standards.
Infrastructure Security
The Ferrum Health Secured AI App Catalog enables medical providers to safely interact with patient health information while eliminating the need to send sensitive data outside of the secure infrastructure.
Ferrum Approach
Our Integration Ecosystem
Keep your radiologist workflow uninterrupted with Ferrum’s low-maintenance bidirectional integration into your existing PACS and RIS vendor through DICOM and HL7 standards.
PACS
and more...
RIS
and more...
Interoperability
Compatibility with all the major technology stacks that are already in place.
- DICOM
- DICOM GSPS
- DICOM Secondary Capture
- DICOM Structured Reports
- HL7 v2.x
- HL7 FHIR
- REST API
- JSON
- SQL
Achieve your AI Goals Faster
Ferrum’s turnkey deployment and application management tooling increases your IT team’s bandwidth while saving your organization time and money.
Legacy Approach
With Ferrum
Hours - Average implementation times in hours based on vendor survey data.
Effortless Install
Ferrum comes preconfigured. Just plug our server in or provide a VM, and we’ll take care of the rest.
Fill Install Document
Complete our simple installation document to kick off the installation process.
Install Hardware or VM
The hardware or virtualization technology to enable the platform services is configured.
Connect to PACS/RIS
This step initiates the connection to the AI infrastructure and is the final step to get up and running.
Today we’re using AI in the review of lung CT scans, in the future our goal is to use AI for multiple indications, such as looking for masses in mammograms, pneumothorax on chest x-rays, etc. We also plan to use AI to assist in learning, perform further analysis of factors that lead to missed nodules, and perhaps even to support optimization of radiation dose.
Dr. Jason Wiesner
Diagnostic Imaging Service Line Medical Director
