What Fuse users actually want

24 sources show that standard payer portals provide only basic eligibility information and cannot capture procedure-specific copays, visit limits, or prior authorization requirements. This gap directly causes high denial rates: OB/GYN practices experience 22% claim denial rates, with data entry mistakes causing nearly 40% of rejections. Physical therapy practices miss visit limits and prior auth nuances. Sleep medicine faces complex CPT code variation by payer. Mental health benefits are buried with complex carve-outs.

18 sources document that staff spend 15 minutes to 2 hours per patient on manual eligibility checks, averaging 30 minutes. This creates unsustainable administrative burden: staff jump between multiple payer portals, make phone calls, update spreadsheets, explain deductibles and pre-authorization rules. Automation can reduce this workload by up to 95%, freeing administrative teams to focus on patient care instead of chasing eligibility details.

17 sources show that different specialties have unique payer rules, prior authorization requirements, and CPT code variations that manual processes cannot reliably handle. OB/GYN practices must manage global maternity packages where payers vary in definitions of what's bundled. Mental health benefits are buried with complex carve-outs and provider type variations that create different in-network statuses. Physical therapy has visit limits and prior auth requirements that differ from other specialties. Orthopedic practices face bundled vs. component billing complexity for surgical procedures.

10 sources confirm that digital intake with automated insurance card extraction eliminates manual data entry errors that contribute to claim denials. Data entry mistakes cause nearly 40% of OB/GYN claim rejections. Rushed patient intake and manual typing lead to missing insurance details and downstream billing rework. Mobile-friendly forms with secure photo capture and automated verification reduce registration friction.

While not directly stated in themes, the convergence of incomplete eligibility data, specialty complexity, and denial rates suggests practices lack visibility into which verification gaps cause which denials. OB/GYN practices experience 22% denial rates but cannot easily trace which incomplete benefit checks led to which rejections. Physical therapy practices know denials hurt their bottom line but lack tools to prevent them proactively.

9 sources document that long support wait times, inconsistent onboarding, and unreliable platform functionality undermine product confidence post-purchase. Competitors experience customer service wait times of 25-40 minutes with users being brushed off or redirected without resolution. Support response delays extend several weeks with offshore teams 8-9 days behind on requests. Users report being told to figure it out yourself and experiencing post-merger instability with unexpected feature limitations.

9 sources show that inconsistent onboarding creates post-purchase friction: some trainers conduct single sessions then disappear, users are directed to online resources after trainer abandonment, and highly inconsistent experiences leave some struggling with steep learning curves. This undermines adoption of complex workflows like CPT-level verification and cost estimation that require configuration.