Netsmartz
66 Case Studies
A Netsmartz Case Study
The client, a regional healthcare network, faced significant challenges in manually screening electronic health records to identify eligible patients for its oncology clinical trials. This slow and error-prone process created low enrollment rates and a high administrative burden for its staff. They partnered with Netsmartz, which deployed its AI Pod service to automate and streamline the patient identification process.
Netsmartz implemented a dedicated AI Pod that built a clinical NLP model to interpret eligibility criteria and match them with EHR data. The solution included a secure, HIPAA-compliant MLOps pipeline and a physician dashboard for review. This resulted in a 90% accuracy rate in patient matching, a 60% reduction in manual screening time, and a 40% increase in monthly patient enrollment, all while maintaining full regulatory adherence.
Regional Healthcare Network