Currently, oncology staff grapple with manually searching massive amounts of patient data to identify suitable clinical trials and treatment pathways. This time-consuming process often leads to:
- Delays in patient care: Manual data analysis can take hours per patient, potentially causing patients to miss out on critical clinical trials or biomarker-driven treatments.
- Backlogs and inefficiencies: Healthcare systems often struggle with backlogs in oncology workflows, impacting overall quality of care.
- Provider burnout: The overwhelming workload can contribute to provider dissatisfaction and burnout.
