Optimization in Motion: Eliminating Friction Across Referrals, Intake, and Prior Authorization

Inside the patient leakage problem

Referrals are the lifeblood of health systems, hospitals, imaging centers, physician practices, and ambulatory and post-acute organizations. Yet referral workflows remain tedious and paper-based, resulting in a serious side effect: delays that prompt patients to seek care elsewhere. Research suggests that the average health system’s referral leakage ranges from between 55% to 65%.

Administrative delays cause abandonment

To see how administrative delays impact care, consider this common situation: A doctor refers their patient to a hospital radiology department or imaging center for an X-ray. Delays in the referral workflow add days to the scheduling process. The patient gets frustrated waiting for a test date or insurance approval, so they schedule their scan with another competing hospital or outpatient center.

This real-world problem costs revenue. It also extends patient wait times and leads to underutilized capacity, where open hospital beds and appointments go unfilled.

Inefficient workflows are a leading culprit

Lying at the heart of the patient leakage problem are the paper-heavy processes required to manage referrals, intake, and prior authorization. Referring providers and insurers usually use different systems than healthcare organizations. That means they send intake and referral information in multiple formats, including physical fax, handwritten orders, and email. Staff must manually gather all of this information and type it into the electronic health record (EHR) or other core system. Multiply this manual work across multiple teams and systems, and the delays compound.

AI can help, but organizations need the right tools

To streamline these processes, organizations are turning toward automation and AI. However, many AI implementations introduce new platforms, multiple logins, and integration headaches, adding complexity rather than resolving it. Healthcare organizations need solutions that can be easily validated and audited within existing governance frameworks. Intelligent Document Processing (IDP) offers a smarter approach, automating processes with minimal disruption to existing workflows.

In this white paper, we’ll explore the root causes of slow referral, intake, and prior authorization processes and explain how intelligent document processing can expedite administrative work and reduce patient leakage.