No enterprise IT project. No HL7 integration. No PHI in the cloud.
JULIA connects to your existing clinical software through interfaces already present on every Windows workstation — and keeps all AI computation local.
JULIA — Just Ultra Local Intelligent Automation — is a new paradigm for clinical AI. Instead of requiring enterprise integration infrastructure that costs millions of dollars and years of IT time, JULIA connects to clinical software through operating system interfaces that are already present on every clinical workstation: COM automation, UI Automation, and local interprocess communication.
Every AI inference runs on the local machine. Protected health information never leaves the workstation. No Business Associate Agreement is required for the AI layer. No cloud AI vendor sees your patients' data. And deployment is a two-minute ClickOnce install — not a two-year IT project.
All AI inference runs on the clinician workstation. No network call for any computation involving PHI.
Connects via COM, UI Automation, and local TCP — interfaces present on every Windows workstation. No HL7, no FHIR, no IT project.
Report text, speech audio, and patient identifiers never leave the machine. De-identified productivity data syncs to the cloud.
ClickOnce install. No admin rights required. Auto-updates silently. Works the moment you sign your first report.
RadHub is the first clinical application built on the JULIA platform. It integrates directly with PowerScribe to automate the tasks that slow radiologists down every day.
Every report you sign is counted instantly. Track daily, quarterly, and annual RVUs against your compensation target. Live system-tray indicator so you always know where you stand.
Runs silently alongside PowerScribe. No workflow changes, no extra clicks. Report signs are detected automatically. Context is assembled the moment a case opens — before you begin dictating.
JULIA's local language model surfaces AI-polished section suggestions as you dictate — without sending your report text to any external server. PowerScribe writes back only what you approve.
Precise measurement from case open to sign. Identify workflow bottlenecks, measure modality efficiency, and track your throughput over time.
JULIA places the call, navigates the phone tree, verifies the physician, delivers the structured result, and writes the addendum — while you supervise and can take over at any moment.
At case open, JULIA automatically surfaces the ordering physician's name, phone number, and messaging platform link — assembled from your live reporting system, ready before you say a word.
Communicating a critical finding means manually looking up a number, navigating a phone tree, identifying yourself, verifying the physician, delivering the result, and documenting the call — every time. JULIA automates the entire state machine, supervised by the radiologist.
Preliminary sign triggers JULIA. Impression text stays on device.
JULIA dials the ordering physician. No manual lookup needed.
Local LLM handles secretary and phone tree interactions by voice.
Physician identity confirmed via speech before result is delivered.
Structured verbal result delivered. Radiologist available if physician has questions.
Communication addendum written automatically with time, physician, and acknowledgment.
All speech processing runs on the local workstation. No portion of the patient's result leaves the machine until the de-identified communication log is synced.
Every existing clinical AI product requires an IT integration project — HL7 interfaces, FHIR APIs, vendor agreements, security reviews, and months of testing before a single clinician sees a benefit. JULIA bypasses the entire stack.
We are working directly with radiologists and practices to deploy JULIA.
If you're interested in access, reach out directly.
kamran.shah@aah.org • Inventor, JULIA Platform • RadHub.ai