The referral enters another queue.
Staff read the packet, find or create the patient, enter data, and decide who owns the next action before outreach can begin.
Insight Health's AI agents read each inbound referral, match or create the patient, reach out by phone and text, collect insurance and intake details, coordinate authorization, then book the right appointment directly in your EHR or practice-management system using rules set by the practice, provider, location, and procedure.
Reading the document is only the first step. The referral still needs a patient, complete insurance, authorization, outreach, the right appointment type, and a time that follows your scheduling rules.
Staff read the packet, find or create the patient, enter data, and decide who owns the next action before outreach can begin.
Phone tag, incomplete insurance, and unanswered intake questions keep clinically appropriate referrals from reaching scheduling.
Even complete referrals stall when payer requirements, procedure prerequisites, and provider scheduling rules live in separate workflows.
Each agent completes its part of the workflow, passes the context forward, and brings staff in only when a clinical or operational exception needs review.
Capture faxes, portal uploads, orders, clinical notes, imaging, demographics, and insurance documents from the channels already used by the practice.
Find the correct patient record or prepare a new patient record, then structure the referral details needed for the next action.
Contact the patient by phone and text, explain the next step, confirm interest, and continue outreach within the practice's approved contact rules.
Collect and verify demographics, insurance, preferred location, appointment needs, and any procedure-specific intake information.
Check whether authorization is required, connect the supporting clinical evidence, request missing information, and keep the open action moving.
Offer eligible times and schedule directly in the EHR or practice-management system using rules set by practice, provider, location, and procedure.
The document agent reads and structures the referral. Lumi, the patient-facing AI assistant, reaches the patient, collects the missing information, answers approved questions, and guides the patient to the right appointment.
Every interaction stays connected to the referral so the scheduling agent can act on complete information instead of starting over.
Workflows, scripts, contact windows, escalation paths, and scheduling authority are configured with the practice.
The AI agents combine referral documents, patient responses, payer requirements, and scheduling availability into one coordinated workflow.
Identify the requested service, diagnosis, urgency, ordering provider, clinical context, and procedure instructions.
Match the correct patient or collect the information required to prepare a new patient record without duplicating charts.
Collect insurance details, identify missing information, and connect payer data to the referral and authorization workflow.
Keep clinical evidence, payer requirements, missing-information follow-up, and authorization status tied to the requested service.
Apply rules for provider, location, appointment type, referral source, urgency, visit length, and required prerequisites.
Use eligible appointment inventory and book the selected time directly into the connected EHR or practice-management system.
Adjust referral volume, current booking rate, target booking rate, and estimated appointment value to model the operational opportunity for your practice.
Illustrative estimate only. Actual booking rates, reimbursement, patient eligibility, authorization outcomes, and appointment value vary by practice.
Practical answers for leaders evaluating end-to-end referral coordination with AI agents.
Yes. Patient outreach can use phone and text within contact windows, scripts, languages, escalation rules, and consent workflows approved by the practice.
Yes. Eligibility and scheduling logic can account for provider preferences, location, appointment type, referral source, urgency, visit length, procedure, and required prerequisites.
Yes, where the connected integration supports scheduling. The agent checks eligible availability, presents appropriate choices, and writes the confirmed appointment into the system of record.
The authorization agent identifies whether authorization is needed, connects the supporting evidence, chases missing information, monitors open actions, and keeps scheduling aligned with authorization status.
The workflow follows the approved outreach cadence, records each attempt, tries permitted channels, and escalates the referral to staff when the configured threshold is reached.
No. MagicDocs handles the inbound referral documents, Lumi handles patient-facing outreach and intake, and the scheduling agent coordinates the final appointment in the EHR or practice-management system.
Insight Health combines healthcare-specific automation with the safeguards clinical organizations expect.
Healthcare data is protected with safeguards designed for clinical operations and patient privacy.
Independent controls support security, availability, and confidentiality across the platform.
Practicing physician founders help shape workflows around real clinical and operational needs.
See how coordinated AI agents can move each orthopedic referral through intake, patient outreach, insurance, authorization, and scheduling.
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