HopeLLM harnesses GenAI to reduce admin work and personalize cancer care using deep oncology insights trained on expert knowledge.
City of Hope has launched HopeLLM, a bespoke GenAI platform trained on its rich oncology dataset and expert knowledge on cancer care. This GenAI system tackles the challenge of time-consuming chart review by summarizing decades of patient history in seconds. Physicians can now allocate more time to empathetic patient conversations instead of manual data hunting.
A crucial challenge HopeLLM addresses is the slow onboarding of new patients, especially those with lengthy medical records. The tool automates eligibility matching for clinical trials and extracts structured research-ready data. This accelerates trial enrollment and turns manual chart abstraction into instant AI-driven insights—saving hours per case.
Another key hurdle is inconsistent patient data quality. HopeLLM overcomes this by standardizing information and generating responses personalized to individual records. It closes gaps between siloed data sources and supports a cohesive patient view, enabling clinicians to deliver enduring, high-quality care across City of Hope’s nationwide network.
Internally, HopeLLM creates a learning health system. Every clinician‑patient interaction further trains the model, fueling continuous improvement in diagnostic support, trial matching, and care coordination. This means breakthroughs in early detection, surgical risk prediction, and drug discovery can be deployed rapidly—improving outcomes and operational efficiency across the enterprise.