Streamlining referral workflows to reduce burnout

Referral management remains one of the most manual, time-consuming processes in healthcare. Coordinating patient access through faxes and disconnected workflows increases stress, fatigue, and unfilled positions among healthcare workers.

Health systems are addressing these challenges with automation. By removing redundancy and waste in referral processing, teams prioritize higher-value, patient-centered work — and faster access.

Workforce fatigue? Referral management may be to blame

The healthcare workforce is burnt out, with many planning to leave even as the U.S. is projected to face a shortage of nearly 700,000 critical healthcare workers by 2037. MGMA reports that front-desk/entry-level administrative roles remain the most common churn points, along with nursing and RCM roles. In referral management, coordinators spend hours on fax categorization, indexing, transcription, phone follow-ups, scheduling, and manual EHR data entry — work that is tedious, error-prone, and fast-paced.

One Florida-based health system was relying heavily on inbound faxes for referrals: 12.5 full-time employees index faxed orders, and the average processing time from fax receipt to transcription was 48 hours. Fifteen percent of faxed referrals were handwritten, making an already manual process even more time-consuming and prone to error.

Referral workflows affect more than just hospital operations. They shape productivity and employee satisfaction, and ultimately, the patient experience. 

Health systems feel pressure to modernize referral processes

At Montage Health, the health system experienced frequent referral backlogs in primary care. One person spent an entire day each week just transcribing referrals. Staff also entered referral orders manually, using fragmented systems to coordinate care across specialties. When referrals take longer to process, patients may be confused about their next step and potentially miss needed care.

Rather than pushing teams to complete tasks faster or layering new technology onto inefficient processes, health systems are rethinking how they handle referrals.   

Automation reduces reliance on manual workflows. With it, referral coordinators can evolve how they support patients.

The automation shift

Automation replaces outdated tools, not people. AI handles the high-volume, repetitive work: fax ingestion, referral transcription, patient outreach, and scheduling. This gives staff the capacity to focus on complex referrals, patient relationships, and care coordination.

Automated referral transcription, sorting, and outreach looks like this: 

1. When a fax comes in, the AI platform uses OCR (optical character recognition) and visual LLMs (vLLMs) to read the fax. 
2. It then categorizes them and routes them to specific folders based on each health system’s custom rules.
3. It converts the unstructured data into structured data that are inputted into the EHR.
4. The patient is sent referral status outreach and self-scheduling options via AI Voice, SMS, and/or email. 
5. Turnaround time from ingested referral to scheduled visit is drastically reduced.
6. The health system receives analytics insights to track success rates and KPI metrics. 

Together, these capabilities reduce administrative demands and provide a practical way to improve access. Referrals transition from reactive processing to proactive coordination.

Automating faxed referrals saves 8,000 staff hours each year

Health systems are already using referral management AI workflows to overcome workforce and operational challenges. Their experiences show that automation can lower employee fatigue.

The Florida health system that had 12.5 FTEs working on faxed orders automated the order entry of 14 different order types by building a workflow that manages referrals end-to-end across 3 fax lines in its contact center. Unlike human staff, AI Agents work 24/7, enabling referrals to be transcribed outside working hours and increasing scheduling speed.

The results: automation transcribed over 10,000 faxed orders without staff intervention, with a projection to automate 60,000 faxed orders in the first year, saving 8,000 hours annually and yielding a 2.6x ROI on multiple referral transcription alone.

Referral automation enabled five full-time employees to be cross-trained for higher-value strategic work.

Most importantly, the average turnaround time from receipt of a referral to transcription dropped from 48 hours to 10 minutes. Manual transcription work is removed from staff, enabling patients to access care sooner.

Automation eliminates up to 2 hours of daily referral transcriptions

At Montage Health, automation eliminated up to 2 hours per day that would have been spent transcribing referrals. Now, staff can focus on reaching more patients to enroll in the wellness program. 

Automating referral entry saves 550 hours per year, based on approximately 30,000 faxed orders and referrals annually. Because the repetitive work is automated, the health system no longer needs to hire an FTE to manage the backlog.

Staff have shared positive feedback, saying they save time and have less manual work.

5 ways automation transforms referral management

More referrals don’t have to create more paperwork. To scale patient referrals, health systems need better coordination across populations, provider networks, and payer partnerships — without hiring more staff.

Automation redefines staff’s role in referral management, not just the workflow. The benefits speak for themselves: 

1. Eliminating work redundancy and waste in referral processing
2. Enabling staff to focus on higher-value or more complex patient needs
3. Reducing burnout
4. Accelerating patient access and referral turnaround time
5. Strengthening patient trust while protecting revenue

Even more importantly, automating referrals enables health systems to do work that was previously slipping through the cracks. Since automation can process 100% of a health system’s referrals, rather than a subset, more patients are served in the system, getting the care they need as quickly as possible. 

Referral automation is not just a matter of unlocking staff capacity, but also of ensuring that access to healthcare is quick and efficient for all.