Outbound referral coordination
Outbound referrals from primary care to external specialists were handled by hand: faxing packets, calling to confirm receipt, chasing consult notes and tracking status.
Case study
Aunt Martha's Health & Wellness runs referral coordination, care gap closure and voice AI with Linear Health across its network, integrated with athenahealth.
The challenge
Aunt Martha’s is a community health organization in the Chicago area, with more than 100 providers across more than 20 locations. It faced two coordination challenges:
Outbound referrals from primary care to external specialists were handled by hand: faxing packets, calling to confirm receipt, chasing consult notes and tracking status.
Managed care payer files were worked by hand: calling patients, scheduling appointments and closing gaps before payer deadlines.
Staff couldn't process MCO files fast enough to identify and act on them before the next reporting cycle.
Coordinators wasted time chasing care gaps that didn't actually exist.
Patients referred to specialty care or flagged for preventive screenings were falling through the cracks.
The ability to close care gaps on time directly impacted reimbursement rates and contract renewals.
Coordinators spent their days on repetitive data entry rather than complex care coordination.
The solution
Integrated directly with athenahealth, replacing manual workflows end to end.
Outbound referrals from primary care to external specialists are now processed automatically. Linear's AI handles specialty matching using a custom CMS-verified provider database, generates and delivers fax packets, follows up with specialist clinics via AI voice agent, and tracks status in real time.
Patients are contacted automatically via SMS, email, and voice AI in English and Spanish. Patients can self-schedule or be booked by AI based on provider availability, location, and insurance.
Result: coordinators oversee the automated workflow and handle the exceptions.
Linear Health's AI ingests multiple managed care payer files in bulk, automatically cross-referencing care gap data against patient records in athenahealth. The system validates each gap, identifies billing discrepancies causing false flags, and surfaces only actionable care gaps.
Payer patient records are processed automatically. The system contacts patients via their preferred channel, schedules appointments for preventive screenings and follow-ups, and tracks closure status in real time against payer deadlines.
Result: coordinators oversee the automated workflow and handle the exceptions.
Linear Health operates across athenahealth and multiple payer portals simultaneously, eliminating the need for staff to log into separate systems to track referral status, authorization approvals, or care gap closures.
The results
What changed after go-live.
| Metric | Before | After |
|---|---|---|
| Patient contact | Manual calls | SMS, email and voice AI in English and Spanish |
| Care gap identification | Manual, batch monthly | Automated, continuous |
| False flag resolution | Manual investigation | Automated detection |
| EHR integration | Manual data entry | Bi-directional sync |
Services deployed
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