Oracle Health Launches AI-Powered EHR Certified for Ambulatory Use
Oracle Health released a next-generation EHR built with AI at its core and certified for U.S. ambulatory use. The promise is simple: less time on screens, more time with patients.
"For decades, EHRs that were supposed to support clinicians instead entangled them in administrative tasks and processes that took valuable time away from patient care," said Seema Verma, executive vice president and general manager of Oracle Health.
What's new
The system embeds native AI to cut documentation and search friction. Clinicians can use voice commands to surface labs, medications, and key context without clicking through multiple views.
Under the hood, the model understands medical concepts and can connect conditions, meds, and care pathways. That means faster insight at the point of care, especially during packed clinic days.
Why it matters for small practices
Smaller teams often juggle intake, charting, orders, and follow-up with limited staff. A system that reduces clicks and cognitive load can improve throughput and the patient experience without adding headcount.
Less admin overhead can also reduce burnout and help clinicians stay present in the exam room.
Key capabilities at a glance
- Voice-driven access to patient data (labs, meds, histories) without screen-hopping.
- AI that surfaces links between conditions, medications, and care pathways to support decisions in real time.
- Certified for functionality, security, and interoperability standards for ambulatory use.
- Compliance with Electronic Prescriptions for Controlled Substances (EPCS).
- Open system with options for customization and integration with third-party models.
Certification and compliance
Certification from the Office of the National Coordinator (ONC) signals adherence to federal standards for security, interoperability, and functionality-core concerns for any clinic handling PHI. Learn more about ONC certification here: ONC Health IT Certification.
EPCS compliance supports safer e-prescribing for controlled substances and helps reduce fraud risk.
Adoption considerations
Switching systems is rarely plug-and-play. Expect costs for migration, time for training, and a short period of dual workflows while you stabilize.
Data integrity, integration complexity, and interface work with third-party tools may require dedicated project management. Balance the investment against projected time savings, fewer errors, and smoother visits.
How to evaluate fit
- Map your top 5 visit types and document the current clicks, handoffs, and delays.
- Run a limited pilot (one provider or one service line) with clear success metrics: chart closure time, refills turnaround, patient wait, and message backlog.
- Plan data migration with staged validation (patients, meds, allergies, problem lists). Define a rollback path.
- Stand up quick-reference workflows and role-based training; appoint a clinical "super user" for go-live support.
- List required integrations (labs, imaging, clearinghouse, RPM, telehealth) and test them before broad rollout.
- Set a 30/60/90-day optimization cycle focused on reducing clicks and errors.
Where to learn more
Get product details and updates from Oracle Health: Oracle Health.
If your team wants structured upskilling on practical AI for clinical operations and automation, browse these resources: AI courses by job.
Your membership also unlocks:
