01
PDF extraction with OCR fallback
Capture key details from native and scanned order PDFs, while keeping uncertain output visible for staff review.
Turn incoming EEG orders into clean, reviewable intake.
Axiom OrderFlow helps EEG teams capture order details, surface missing information, flag possible duplicates, and move reviewed orders toward scheduling readiness in one accountable workflow.
Direct answer
What this capability is designed to do
EEG order intake software should reduce repetitive re-keying without removing human review. Axiom OrderFlow reads incoming EEG order PDFs, structures key fields, shows uncertainty and missing requirements, and requires staff confirmation before information becomes part of the department tracker.
The operating problem
Why EEG departments look beyond spreadsheets.
The same order is typed into email, a spreadsheet, the schedule, and another tracking log.
Authorization, duration, order date, reader, or study-type details surface late.
Possible duplicates become extra rows and extra follow-up.
Staff cannot quickly explain why an order is not scheduling-ready.
Leadership sees totals but not the work hidden inside intake.
Corrections happen without a durable, plain-English history.
Core capabilities
Built for EEG operations, not generic task management.
02
Human validation
Extraction does not directly create an authoritative tracker row. Staff review and correct the information first.
03
Missing-information visibility
Configured requirements make incomplete authorization, timing, study-type, and routing details easier to see before scheduling.
04
Duplicate-risk review
Possible matches are surfaced with supporting signals so staff can confirm whether the order is new or already represented.
05
Configurable intake tracker
Departments define the fields, dropdowns, required values, and views that match their operating process.
06
Audit history
Changes retain actor, time, prior value, new value, and reason where governed correction requires it.
Workflow
A governed path from arrival to accountable work.
Human-reviewed. Built specifically for EEG. Designed to complement your EHR and EEG acquisition system.
- An EEG order arrives by approved upload, inbound email, fax workflow, or configured interface path.
- The system captures the document and extracts configured order fields.
- Missing, uncertain, or duplicate-risk information is presented to staff.
- An authorized user reviews and corrects the intake record.
- The validated row enters the tracker with scheduling-readiness visibility.
- Follow-up, corrections, exports, and downstream status changes remain reviewable.
For buyers
Where it fits
This is designed for neurology clinics, hospital EEG departments, and multi-site neurodiagnostic programs that have outgrown manual intake spreadsheets or need stronger control between referral arrival and scheduling.
Product boundary
What it does not replace
Axiom OrderFlow complements the EHR; it is not an EMR, clinical decision-maker, order authorizer, interpreting system, or replacement for facility policy. Every production interface is separately scoped, tested, and accepted with the customer's interface team.
FAQ
Questions EEG and IT leaders ask.
Does Axiom OrderFlow approve EEG orders?
No. It organizes intake information and supports staff review. It does not make clinical decisions or replace facility authorization and scheduling policy.
Can it read scanned EEG orders?
The product supports native text extraction with OCR fallback for scans. Low-confidence or incomplete output remains subject to human review.
Can fields be customized?
Yes. Templates can be configured for the department's required fields, data types, dropdowns, and workflow needs within governed permissions.
Does it replace Epic?
No. It is an EEG intake and operations layer designed to complement Epic or another EHR.
See how this fits your EEG workflow.
A tailored walkthrough uses synthetic data and focuses on your department's current intake, scheduling, operations, and reporting process.
Do not include patient information in demo requests. Demo environments use synthetic data only.