ScribeGo NeuroRoute
โš  CONCEPT DEMO โ€” all patients and referrals are synthetic. The AI recommends; staff decide. Nothing is auto-scheduled and no message sends without human approval.

Neurology Referral Intake โ€” Rolling View

Synthetic demo data โ€” every figure below is computed live from the demo queue
Referrals in queue
29
across fax, portal, email, internal
Routed high-confidence, first pass
93%
single-service rule match โ‰ฅ90%
Median time to triage
9 min
from receipt to proposed routing
Urgent beyond 24h
4
flagged for review

Referral volume by destination service

Vascular neurology
7
Headache clinic
4
Epilepsy
3
Neurointerventional service
3
Movement disorders
3
Neuroimmunology
2
Neuromuscular
2
Needs human review
2
Cognitive neurology
1
Neuro-oncology / neurosurgery
1
Emergency / transfer escalation
1

Requiring human escalation

NR-48228
(from document)
Marked urgent by referrer Urgent
NR-48205
Anita Krishnan
New seizure with a mass Urgent
NR-48227
Nina Petros
New or fluctuating focal deficit Urgent
NR-48213
Stanley Kubiak
Marked urgent by referrer Urgent
NR-48209
Omar Haddad
Marked urgent by referrer Urgent
NR-48200
Denise Walker
New or fluctuating focal deficit Urgent
NR-48204
Leon Fitzgerald
Lesion with edema / mass effect Urgent
NR-48212
Terrence Mills
Intracranial hemorrhage Urgent

How this works

Every referral โ€” faxed form, portal entry, email, or internal discharge โ€” becomes one standardized record. Patient identifiers are tokenized before any AI reads the text. Routing and urgency come from an auditable rule matrix your subspecialists approve; the AI extracts and summarizes. Low-confidence and high-risk cases land in the escalation queue above. Staff make every final call.