AI in healthcare
Healthcare AI goes better on a cloud that is ready for it.
An AI system inherits everything about the environment it runs in. If nobody can say which data sits where, who can reach it, and which controls apply, the AI system has the same problem, at higher speed. We get the foundation ready, and we help you design the AI system on top of it.
What an AI plan needs first.
A foundation you can trust
Access, encryption, logging, and governance that hold up when a new workload arrives with unusually sensitive inputs.
Compliance that keeps up
Checks built into delivery, so a team can move quickly and stay inside the lines without waiting on a manual review for every change.
Data you can find and describe
Clinical and claims data arrive as HL7 v2, C-CDA, FHIR, and X12. An AI system is only as good as the pipeline that brings them together.
How we help.
Start with a 30-day proof of concept
The AI for Healthcare Kickstarter is a 30-day workshop on AWS. We identify the use case, define what success looks like, check the data, and build a working proof of concept with security and compliance designed in.
Design it safely from the start
We help healthcare organizations design AI systems that are safe, secure, and compliant before the pilot, when it is cheapest. Our founder, Gerry Miller, served on the HITRUST AI Working Group in 2024.
Build the data pipelines
Collection, cleaning, and governance for the data a model will use, on the same foundation as your other regulated systems.
Run it like any other regulated system
Operations, security monitoring, and compliance status in Oxygen, for the AI workload and everything it touches.
AI we use ourselves
The assistants in Cloudticity Oxygen™ are connected to a customer's own assets, event history, and policies, and our engineers use them every day.