The Business Case: Optimizing Your Referral Value Chain
In the evolving landscape of healthcare, a high-performing specialist referral process is essential for financial health and delivering quality care. This white paper presents the business case for optimizing your specialist referral value chain, addressing the logistical challenges that hinder many health systems despite their investments in provider networks and service line alignment. Discover how to mitigate issues like network leakage, referral backlogs, and patient no-shows that directly impact your bottom line. We advocate for a data-driven, AI-enhanced approach to patient navigation, demonstrating how to capture more value from your existing provider network and service lines by prioritizing patients and streamlining their journey to specialist care."
Inside this Business Case, you'll find:
- An analysis of the broken referral value chain and its impact on revenue.
- A breakdown of key metrics to track, such as referral capture rate, in-network referral rate, and appointment no-show rate.
- A financial model to calculate the potential increase in downstream margin by optimizing specialist referrals.
- Strategies for leveraging Natural Language Processing (NLP) and machine learning to identify and prioritize high-value referrals.
- Case studies demonstrating how health systems have successfully improved referral completion rates and increased revenue through targeted interventions.