A hospital network clears a three-week EEG backlog

Neurologists were spending 45 to 90 minutes writing up every EEG. The queue grew faster than it could be cleared, and a three-week reporting backlog had built up behind it. Hiring more specialists was not an option at the speed the backlog was growing.

We did not try to automate the diagnosis. The clinical judgement had to stay with the specialist, both for safety and for the hospital to accept the system at all. So we moved the automation one step earlier, to the blank page. If a neurologist opens a draft instead of an empty document, most of the time cost disappears without touching the decision itself.

A reporting pipeline that produces a draft report per study, structured the way the department already writes them. Clinicians review, correct and sign off, and the signed report is what leaves the system. Every draft is attributable and every edit is retained.

• Automated draft generation per study
• Clinician review and sign-off workflow
• Department-specific report structure
• Backlog clearance across the existing queue

Reporting moved from a bottleneck to a routine step. The existing backlog was cleared without adding specialist headcount, and the department kept full clinical control of what it signs.