AI-generated from publicly available materials.Ochsner Health is leveraging artificial intelligence to enhance the efficiency of clinical trial patient screening, addressing longstanding challenges in patient recruitment across its extensive health system.
The integration of AI aims to streamline the identification of eligible patients for clinical trials, significantly reducing the manual workload on clinical trial staff. Ochsner, the largest nonprofit health system in Louisiana and Mississippi, operates 47 hospitals and over 370 clinics. The complexity of its network often results in eligible patients being overlooked due to geographical and logistical barriers, as well as changing eligibility criteria over time.
To tackle these issues, Ochsner partnered with Paradigm Health, which provides an AI-enabled recruitment platform. This system connects to Ochsner's electronic health records, screening a broader patient population against eligibility requirements for ongoing oncology studies. Clinical research coordinators utilize this platform to review potential candidates efficiently, ensuring that the responsibility for eligibility confirmation remains with the clinical teams while improving overall patient outreach.
Initial results from the implementation have shown a 41% increase in the number of patients screened, along with a 75% reduction in manual workload. This not only enhances operational efficiency but also ensures that more patients are considered for trials, regardless of their location within the health system. Ochsner is now looking to expand this AI application to further streamline clinical trial operations, indicating a promising shift toward more inclusive patient engagement in research.