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News
Oracle Health is rolling out a sweeping suite of AI-powered tools across clinical, financial, and research workflows — including a new oncology EHR and AI agents for revenue cycle management. The company is betting its AI-native architecture, built from the ground up rather than bolted onto legacy systems, gives it a decisive edge over rivals. From smarter prior authorization to a real-world data platform with 122 million patient records, Oracle is positioning itself as healthcare's end-to-end AI backbone.
Oracle Health is making a major push to become the AI infrastructure layer for the entire healthcare ecosystem. At its annual Health and Life Sciences Summit in Orlando, the company unveiled a wave of new AI-powered tools spanning clinical care, revenue cycle management (RCM), oncology, and life sciences research. Central to its pitch: an AI-native EHR rebuilt from the ground up — not retrofitted — on Oracle Cloud Infrastructure, which executives argue gives it a fundamental speed and accuracy advantage over legacy systems.
The announcements span a wide range of use cases. Oracle launched a new AI-powered oncology EHR, new AI agents for front- and middle-office RCM tasks (including prior authorization and appeals management), and an expanded Life Sciences Data Intelligence platform with domain-trained AI agents for clinical trial matching and real-world data analytics. The company also unveiled an AI-equipped ambulance concept designed to close information gaps between first responders and emergency departments.
By the Numbers:
Why it matters: As healthcare systems grapple with workforce shortages, rising costs, and fragmented data, Oracle's end-to-end AI strategy could reshape how providers, payers, and researchers operate — reducing administrative burden and potentially accelerating time to diagnosis and treatment.
