LAUSR

The staggering cost of cancer treatment has led to widespread calls for changes in care delivery.1 After nearly 50 years, the war on cancer has resulted in breakthrough treatments and survival improvements for multiple cancers.1 Corresponding advances in care delivery, however, lag far behind. As we near the 50th anniversary of the National Cancer Act of 1971, care delivery is ripe for change. The current adult cancer care model—in which highly trained physicians craft discrete solutions for each patient— will be challenged in the face of increasing treatment complexity, increasing cancer prevalence, looming physician shortages, and rapidly shifting payment models that require health systems to bear financial consequences of unwarranted clinical variation.1,2 We have an opportunity now to articulate a new model for care delivery. The model, rooted in humanmachine collaboration, could be implemented immediately in cancer care. Furthermore, it could lay a blueprint that may have broad applicability across other clinical domains.