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.

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Why Autonomous AI Coding for PDGM Falls Short and What Actually Works

Fully autonomous AI coding for PDGM is often marketed as inevitable, but in practice it remains unrealistic. PDGM reimbursement depends on clinical nuance across OASIS responses, diagnoses, functional scores, and narrative consistency.

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How To Improve Value-Based Care Patient Satisfaction Analytics

Understanding patient experiences takes time and effort. Value based care patient satisfaction analytics tools can help track feedback efficiently. They collect responses from multiple sources, like surveys, calls, or mobile apps. Patterns emerge when data is consistent, helping managers focus on areas needing improvement.

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Ambient AI as a New Lever for HHCAHPS and Visit Quality Improvement

Ambient AI in home-based care is often positioned as a clinical documentation tool, but its value extends far beyond note generation. Traditionally, home health agencies only see what clinicians manually chart in clinical documentation, OASIS assessments, and HOPE assessments.

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How AI Referral Management Solution Improves Patient Care

Handling patient referrals can get messy and overwhelming fast. An AI referral management solution helps staff keep everything organized without digging through endless emails or papers. Notifications, dashboards, and reminders make it easier to know which referrals are pending and which are completed.

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