Turning Referral Intake into aStrategic Advantage with IntakeIQ

AI intake and referral assistant is one of the most underestimated bottlenecks in home health and hospice operations. Intake coordinators are expected to move quickly, yet they often work with incomplete referral packets, unstructured clinical notes, and inconsistent payer requirements. At the same time, clinical managers are asked to make admission and staffing decisions without full visibility into patient acuity, documentation quality, or downstream clinical risk. This disconnect creates friction, delays, and lost referrals.

AutoMynd addresses this gap through healthcare intake automation built specifically for home-based care. IntakeIQ, AutoMynd’s referral intake and automation platform, ingests referral documents and transforms them into structured, clinically relevant summaries. Intake coordinators no longer spend hours chasing missing information or manually interpreting referral notes. Instead, they gain immediate clarity on eligibility, diagnoses, and required documentation.

More importantly, IntakeIQ bridges the knowledge gap between intake teams and clinical leadership. Intelligent referral management surfaces patient complexity, clinical risk factors, and documentation gaps early in the intake process. This allows clinical managers to assess fit, plan staffing, and prioritize admissions with confidence before the first visit is scheduled.

Automated referral management also reduces friction across handoffs between intake, scheduling, and clinical teams. Everyone works from the same intake intelligence rather than relying on fragmented emails or tribal knowledge.

The result is faster admissions, fewer preventable referral declines, and stronger alignment between operational speed and clinical readiness. IntakeIQ turns referral intake from a bottleneck into a scalable advantage.