Oracle Health recently released a new version of its Clinical AI Agent built entirely upon generative AI technology. Formerly known as Oracle Health’s Clinical Digital Assistant, this second-generation Clinical AI Agent provides a new set of advanced AI services for medical providers.
The Clinical AI Agent helps improve patient-provider interactions by combining clinical intelligence with a multimodal voice user interface to automate and unify a wide range of clinical workflows. The Clinical AI Agent enhances physician productivity by capturing and enriching patient exchanges, improving documentation accuracy, and simplifying clinical decision-making through the power of AI.
For example, instead of spending time navigating through drop-down menus or scrolling through screens to find information, practitioners can access critical elements of a patient’s medical history before, during, and after an appointment simply by asking the Clinical AI Agent. Integrated with the Oracle Health’s electronic health record, the Oracle Health Clinical AI Agent is designed to provide accurate draft notes in multiple languages in minutes. It also proposes clinical follow-ups, such as lab tests, and referrals for the provider to review and approve, and synchronizes all the information back to patients’ individual medical records. The Clinical AI Agent can simultaneously extract relevant data from the patient notes to automate coding, improving accuracy and helping to ensure compliance. In addition, it generates condition-specific medication history and discharge summaries to deliver rapid insights for clinical decision-making.
“Oracle Health Clinical AI Agent exemplifies the ability of Oracle AI to overcome longstanding industry challenges,” said Seema Verma, executive vice president and general manager, Oracle Health and Life Sciences. “From reducing burnout to enhancing patient satisfaction and improving reimbursement processes, the Clinical AI Agent is changing the lives of practitioners and the patients they serve.”
As a cloud solution running on Oracle Cloud Infrastructure (OCI), users benefit from military-grade security and continuous innovation, such as the regular addition of new language capabilities. Users are already providing positive feedback on the solution.
“AtlantiCare was one of the first-named innovation partners for Oracle Health Clinical AI Agent, offering us a unique opportunity to provide valuable feedback and witness the continuous enhancements,” said Michael Charlton, President and CEO, AtlantiCare. “Our physicians have seen improvements in patient engagement and professional satisfaction, thanks to reduced manual documentation. By enhancing visit summaries, we ensure that both clinical and administrative teams are aligned, ultimately improving the patient experience. And adding new language capabilities is already having a positive impact on our Spanish-speaking physicians and patients. This collaboration is a key part of our Vision 2030 strategy, which reimagines healthcare delivery with a focus on patient and community wellness.”
On average, AtlantiCare providers are seeing a 41% reduction in total documentation time—saving them 66 minutes per day.
“The Oracle Health Clinical AI Agent feedback from our team has been overwhelmingly positive. Our physicians see how it can dramatically improve their quality of life,” said Scott Eshowsky, MD, chief medical information officer, Beacon Health System. “For me personally, it has been wonderful to be able to dedicate more time counseling patients about their diagnoses and treatments, as opposed to focusing so much energy on manual documentation.”
“Compared to the previous models of AI documentation I have used, Oracle Health Clinical AI Agent has been the most reliable and accurate,” said Dr. Patricia Notario, pediatrician, Billings Clinic. “I make far less corrections using Oracle. Most importantly, I have been increasingly confident in the Oracle platform because the notes are done almost immediately for my review. I love that now I can use it for Spanish-speaking families. It works just as well as it does in English!”
What this means for ERP insiders
Integrate Clinical AI Agent with Oracle apps to maximize results. To maximize value for medical providers, Oracle’s Clinical AI Agent should integrate with the following key Oracle Health applications:
- Oracle Health Electronic Health Record (EHR): This application serves as the central repository for patient medical records, so integrating the AI Agent facilitates seamless access to patient data, enabling the AI Agent to assist in clinical documentation and decision-making processes.
- Oracle Health Multum Drug Database: This application provides comprehensive drug information, including interactions and contraindications, so integrating the AI Agent enables accurate medication guidance and alerts during patient care.
- Oracle Health Bedside Medical Device Integration: This system connects medical devices to the EHR for real-time data capture, so integrating the AI Agent allows providers to monitor and analyze patient vitals, supporting timely clinical interventions.
- Oracle Health Remote Patient Monitoring: This application provides continuous monitoring of patients outside traditional clinical settings, so extended patient data can be fed to the AI Agent, enhancing chronic disease management and post-discharge care.
- Oracle Health Data Warehouse: The role of this warehouse is to aggregate large volumes of healthcare data for analysis, so integrating the AI Agent fuels advanced analytics, supporting population health management and predictive modeling.
- Oracle Health Unified Analytics and Reporting: These are tools for comprehensive data analysis and reporting, so they can enable the AI Agent to generate actionable insights and support evidence-based clinical decisions.
Healthcare industry must overcome obstacles to benefit fully from AI. Between 2019 and 2022, investors allocated approximately US$31.5 billion to healthcare AI technologies, underscoring a robust commitment to integrating AI solutions within the sector. Despite substantial investments, the healthcare sector faces challenges in widescale AI implementation, including regulatory hurdles, data privacy concerns, and the need for ethical guidelines to ensure responsible AI use. A 2024 McKinsey survey revealed that over 70% of healthcare organizations are pursuing or have already implemented generative AI capabilities, indicating a proactive approach toward AI integration. The evolving regulatory landscape and ethical considerations play a crucial role in AI adoption, with organizations needing to navigate compliance pressures and cybersecurity threats amid resource constraints.
Proactively address patient concerns regarding the role of AI in their care. AI systems require vast amounts of patient data, raising the risk of data breaches or unauthorized access. Providers should ensure robust data encryption and compliance with privacy regulations like GDPR or HIPAA and communicate clearly with patients how data is used and protected. If AI algorithms are trained on biased or incomplete datasets, they may perpetuate inequities in care. Physicians should be transparent with patients regarding how AI models are developed and validated, and should work with their teams to monitor systems to detect and mitigate algorithmic bias. Over-reliance on AI for diagnosis or treatment planning could lead to errors if systems are not adequately supervised by medical professionals. Healthcare providers need to maintain a “human-in-the-loop” approach and retain full accountability for clinical decisions, even when AI is involved. AI may identify patterns that are not clinically significant, leading to unnecessary tests or treatments. As such, providers must maintain critical oversight of AI-driven insights and employ balanced approaches that integrate AI recommendations with clinical context.
