AI Census Reconciliation
Compares census activity, ADT movement, and charge patterns to help identify likely missed encounters and workflow gaps.
Iris Health uses AI and workflow automation to help hospital-based physician groups move faster, reduce manual drift, and gain more control over the places where revenue is commonly lost. Our model combines AI agents, structured automation, and skilled human teams to reconcile census activity, support coding, prioritize work queues, accelerate follow-up, and create a more predictable revenue cycle.
Too many healthcare technology stories talk about AI in general terms. What buyers want to know is simple: what does it actually improve? At Iris Health, AI is applied to real operational problems. It helps identify likely missed encounters, interpret chart images and documents, triage work, surface coverage issues, prioritize queues, and create more speed and consistency across the revenue cycle.
Just as important, AI does not operate alone. Human experts stay in control where coding judgment, payer knowledge, patient communication, compliance sensitivity, and persistent follow-up matter.
Compares census activity, ADT movement, and charge patterns to help identify likely missed encounters and workflow gaps.
Supports coding workflows by helping interpret chart images, scanned documents, and other medical record inputs.
Iris Health uses AI-assisted reconciliation to compare census movement, ADT data, provider activity, and charge patterns. This helps surface likely missed encounters earlier, so your team can review exceptions and resolve issues before revenue is permanently lost. It is especially valuable for multi-hospital groups where manual reconciliation becomes unreliable at scale.
Medical records do not always arrive in a clean structured format. Iris Health uses AI capabilities to help interpret those inputs, surface likely coding signals, and accelerate review. Skilled human coders then validate the information, apply final judgment, and maintain control over compliance-sensitive decisions.
Iris Health uses AI agents to help sort, classify, and prioritize tasks across workflow queues. Skilled human agents then work the items that require persistence, payer knowledge, patient communication, facility follow-up, or judgment.
We can show you how our AI-assisted reconciliation, image-based coding support, workflow queues, and automation model are designed to improve control without sacrificing accountability.