Bringing real-world data to radiation oncology

Use real-world data to fight cancer.

We are experiencing rapid advances in the treatment of cancer. As the variety and sophistication of treatments increases, we need better ways to get the right treatments to the right patients. Each year, worldwide, roughly 14 million people are diagnosed with cancer. Approximately half of those patients would benefit from radiotherapy. These patients present with a vast array of co-morbidities and complex health histories, and are treated with multiple modalities including radiation therapy, chemotherapy, hormone therapy, immunotherapy and surgery. These patients generate diverse and valuable data, and that data has the potential to improve quality of care for future patients. Using this real-world data is vital to the acceleration of the fight against cancer.

The right treatment for every patient.

One of the hardest challenges of effective cancer care is balancing the need for aggressive treatments against difficult-to-avoid side effects. In radiation oncology, delivering too much radiation can cause severe toxicities. Delivering too little radiation can prevent the cancer from being contained or cured. Using real-world data about patient outcomes from past treatments, our machine learning driven software enables radiation oncologists to optimally balance the goal of cure against the need to minimize radiation-related toxicities.

Less time on documentation. More time with patients.

Documentation is essential for describing the patient encounter and getting reimbursed for services. However, critical data about patient outcomes is virtually impossible to extract from free text documentation. We provide radiation oncologists with an intuitive application to generate and send detailed and compliant notes to the EMR. The documentation is auto-generated, structured, consistent and optimized for billing compliance. Physicians can spend more time with patients and less time on documentation. And the critically important outcomes data will be available to study, learn and use to help the next patient.


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