ISPOR 2026

Stop by our booth to discover how Tempus is deploying artificial intelligence to advance HEOR.

Tempus Lens

Quickly find, access, and analyze multimodal de-identified data records and uncover critical insights to accelerate research and innovation. Leverage our Al assistant, Tempus One, to quickly define detailed patient cohorts using natural language processing and transform complex criteria into actionable datasets in seconds. Explore unstructured clinical data and extract nuanced insights.

This study explored the external validity of the Disability Score (DS), a measure developed to ascertain patient performance status (PS) when it is missing from real-world data. Using Tempus AI records and claims data, the study analyzed a cohort of 5,784 patients with metastatic breast, colorectal, and non-small cell lung cancer. While the DS model showed high specificity and accuracy, it had consistently low sensitivity, indicating that it overclassified patients with good PS. The study concludes that the DS measure was not externally valid in these real-world cohorts, highlighting the need for future PS imputation models to leverage datasets that more closely align with the target population.