Moving Away From Traditional Payment Models in Oncology

Video

The “buy and bill” reimbursement model has dominated oncology practice for many years. However, this system is problematic, since it creates the impression that there is a conflict of interest, notes Michael Kolodziej, MD. Under this model an oncology practice can make more money by treating less complicated cancers, since certain drugs have greater profit margins, adds Kolodziej.

The current reimbursement model will need to change, and the concept of incentivizing quality is good in theory, notes Kolodziej. However, the solution is far more complicated than just replacing the "buy and bill" model with one based on outcomes.

Fee-for-service has similar disincentives, according to Jeffrey C. Ward, MD. The clinics are able to bill for infusions and patient visits, but reimbursement is lacking for nutrition consultations, social worker consultations, financial counseling, and patient education. Oncology clinics can offer these additional services in part because of the profit they receive through buy-and-bill, adds Ward.

Related Videos
Sangeeta Goswami, MD, PhD, of The University of Texas MD Anderson Cancer Center
Pasi A. Jänne, MD, PhD, discusses an exploratory analysis from the FLAURA2 trial of osimertinib plus chemotherapy in treatment-naive, EGFR-mutant NSCLC.
Andrew Ip, MD
Arya Amini, MD
Adrianna Masters, MD, PhD,
Chul Kim, MD, MPH
Andrew Ip, MD
In this final episode of OncChats: Assessing the Promise of AI in Oncology, Toufic A. Kachaamy, MD, and Douglas Flora, MD, LSSBB, FACCC, discuss a roadmap of artificial intelligence (AI) advances in the next 5 to 10 years.
In this eighth episode of OncChats: Assessing the Promise of AI in Oncology, Toufic A. Kachaamy, MD, and Douglas Flora, MD, LSSBB, FACCC, explain how artificial intelligence tools are being developed to match the right patient to the right drug on the right clinical trial.
In this seventh episode of OncChats: Assessing the Promise of AI in Oncology, Toufic A. Kachaamy, MD, and Douglas Flora, MD, LSSBB, FACCC, discuss how artificial intelligence tools may be utilized to improve wait time for treatment, to provide more time for provider-patient interactions, and more.