Super Powering Clinicians for Next Generation Cancer Care

Ingest discrete data from a myriad of disparate data sources (e.g., NGS)

Inference discrete data against knowledge base to generate patient specific considerations

Adapt patient plans as a result of inferencing against new data (or absence of data)

Inference latest clinical and payor rules (no requirement  to maintain clinical regimes or pathways)

Voice automation (navigate and record data using voice)

Auto builds progress notes

Adapts treatment plan schedules and actions based on new and/or patient-reported data

Pan continuum – imaging, lab, molecular pathology, medical oncology, radiation oncology, surgical oncology, supportive care 

Generates charges

Fully integrated (API) with practice management billing system

A.I. helps to improve billing efficacy and/or cost control (e.g., raise to level 5 visit based on evaluating correct symptoms and toxicities, enforce guideline compliance, …)

Mitigates losses due to the absence of prior authorizations