Oracle Health Advances Revenue Cycle Management with AI

Native AI capabilities will help connect and simplify revenue cycle workflows to help healthcare organizations optimize financial performance and enhance patient financial experiences

Oracle Health today announced new AI capabilities across its revenue cycle management portfolio that are planned to be released in the coming months to help healthcare organizations in the US limit reimbursement problems early in the patient and payment journey. Revenue cycle teams often spend significant time correcting downstream issues, including denials, missing information, authorization problems, inaccurate charges, and delayed payments. Oracle Health is bringing AI upstream—across scheduling, financial clearance, clinical documentation, charge capture, billing, and payment—to identify risks early, streamline routine actions, and connect clinical, financial, payer, and operational information before issues lead to payment delays and revenue loss.

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“AI gives us an opportunity to prevent revenue cycle problems before they lead to denials and delayed payments,” said Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences. “Oracle Health is delivering a comprehensive revenue cycle solution that brings AI across the front, middle, and back office, connecting clinical and financial workflows from the first patient interaction through payment. This can help healthcare organizations reduce administrative work and revenue leakage, get paid faster, and strengthen their financial stability so they can stay focused on delivering excellent patient care.”

Clinical, financial, payer, provider, and operational activities all influence reimbursement and financial performance, yet many organizations continue to manage these activities across fragmented systems and manual workflows that create inefficiencies, reimbursement delays, and administrative burden. Oracle Health revenue cycle management solutions connect workflows across patient access, clinical documentation, patient accounting, contract intelligence, payment operations, enterprise analytics, and financial management.

Organizations can leverage native AI embedded across existing Oracle Health revenue cycle solutions while modernizing at their own pace.

The new embedded AI capabilities¹ include:

• Prior authorization: Checks coverage, retrieves documentation requirements and pre-fills the information, attaches evidence, coordinates authorization activities, and supports payer interactions to help limit authorization-related delays and denials
• Clinical document quality integrity: Reviews reimbursement-related documentation, identifies documentation gaps, and surfaces contextual recommendations to help enhance documentation and coding quality
• Charge capture and integrity: Analyzes clinical and reimbursement context, modifiers, and service details within charge review workflows to help limit revenue leakage, limit denials, and optimize reimbursement outcomes
• Medical coding for professional fees: Analyzes clinical documentation and patient context to surface coding recommendations within existing workflows to support reimbursable claim readiness
• Appeal Management: Analyzes the remittance received, identifies payment variances, and automates the creation of appeal packets when a decision to appeal is made to help limit turnaround times

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As part of its planned product direction, Oracle Health intends to further connect reimbursement workflows with enterprise financial operations, including financial reconciliation, revenue accounting, treasury management, and analytics through solutions such as Oracle Fusion Cloud Applications. This can help health systems connect reimbursement activity, financial operations, and enterprise analytics to support informed operational and financial decision-making.

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