Oracle Patient Recruitment Cloud Service is a solution designed for life sciences organizations, pharmaceutical companies, and Contract Research Organizations (CROs) to dramatically reduce the cost and complexity of clinical trial patient enrollment. Running on Oracle Cloud Infrastructure (OCI), the service uses de-identified Electronic Health Record (EHR) data from participating health systems, coupled with Oracle's Real World Data assets, to intelligently identify and enroll qualified patients more efficiently.
Key Features and Capabilities:
- Real-time Patient Identification: Acts as a real-time patient identification dashboard tool to find potential patients for clinical trials within their health system.
- Eligibility Scoring: Calculates an eligibility score for qualified patients and provides study teams with insights into why a patient qualifies or where they may fall short of trial criteria.
- EHR Data Integration: Leverages the underlying Oracle Health Data Intelligence (HDI) infrastructure to surface data directly from the EHR and identify eligible and partially eligible patients.
- Retention Insights: Incorporates health system registration and scheduling data, giving study teams visibility to upcoming and past appointment details to help customize visit schedules and reduce dropout risks.
- Pre-screening Optimization: Optimizes pre-screening processes and streamlines workflow via a user-friendly design, eliminating time wasted searching for additional context in the medical record.
- Site Activation: Works in conjunction with Oracle Site Feasibility Cloud Service to help activate sites faster by identifying those with the highest volume of potential eligible patients.
Target Users and Use Cases:
The service is intended for purchase by Sponsors or CROs for use by their Sites (e.g., investigator sites) to assist in identifying and enrolling patients within their health system. The primary goal is to accelerate study timelines, reduce the 32% of clinical trial costs attributed to patient recruitment, and increase the diversity of patient populations in medical research.