New EHR tools and a health information network aim to simplify clinical workflows, connect patient data, and support smarter healthcare decisions
Orlando, 24 September 2026 – Healthcare organizations manage huge amounts of information every day, including medical records, laboratory results, prescriptions, insurance information, and clinical research data. Making this information easy to access and use remains an important challenge. Oracle is addressing this challenge with new electronic health record tools, artificial intelligence capabilities, and a health information network designed to connect healthcare data more effectively.
At the Oracle Health and Life Sciences Summit in Orlando, the company presented its next-generation electronic health record, or EHR, along with several AI-powered healthcare solutions. The new approach brings AI directly into clinical workflows instead of treating it as a separate technology. This can help healthcare professionals find relevant information, complete documentation, and manage routine tasks more efficiently.
The new EHR is built around a cloud-based platform that allows Oracle to introduce updates and new capabilities across the system. Oracle also plans to support AI agents and third-party applications within the platform. The aim is to create a more connected environment where healthcare organizations can use different digital tools without separating information across multiple systems.
Patient access is another major focus. Oracle has redesigned its patient portal to work across different EHR systems. This means patients can access their medical information even when healthcare organizations use different technology platforms. AI can also help explain complex medical information in simpler language, allowing patients to better understand diagnoses, test results, medications, and other details in their records.
Oracle is also expanding its health information network. The network is designed to connect healthcare providers and make important patient information available across different parts of the healthcare system. Better interoperability can help reduce information gaps when patients receive care from multiple providers.
AI is being applied to clinical work as well. Oracle Health Clinical AI Agent includes capabilities for chart review, clinical documentation, dictation, and professional fee coding. These tools are designed to reduce repetitive administrative work and allow clinicians to spend more time focusing on patient care.
The company is also extending its technology into medical research. Oracle has introduced a life sciences data solution that brings together large volumes of medical records with information such as claims, genomic data, prescription information, and pathogen data. Researchers can combine these resources with their own information and use AI tools to support data analysis.
Another development is an AI-based clinical trial matching tool. It is designed to help identify potential connections between patients and clinical trials. Finding eligible participants can be a major challenge in medical research, and technology that can analyze relevant patient information may help researchers identify suitable candidates more efficiently.
These developments reflect a broader shift in healthcare technology. EHR systems are moving beyond basic digital record-keeping and becoming platforms for clinical intelligence, automation, patient engagement, and data exchange.
However, successful adoption will depend on more than technology. Healthcare organizations will need to consider data security, accuracy, interoperability, privacy, and appropriate human oversight when introducing AI into clinical environments.
Oracle’s latest healthcare initiatives show how EHR systems, AI, patient portals, health information networks, and research data can work together. As healthcare becomes increasingly digital, connected data and intelligent tools are likely to play an important role in how providers manage information and deliver care.
