On May 30, 2018, the ACR Data Science Institute (DSI) and the Society for Imaging Informatics in Medicine (SIIM) will hold the Spring 2018 Data Science Summit: Economics of Artificial Intelligence (AI) in Health Care at the SIIM 2018 Annual Meeting.
"Moving AI algorithms into routine clinical practice will require that our health care system supports fair compensation for their development. However, there is no simple one-size-fits-all payment scheme for reimbursing the use of AI in health care," says Bibb Allen, MD, FACR, CMO of the ACR DSI. "In fact, the medical community will have to demonstrate the value and cost savings to patients before reimbursement will be considered."
By exploring the opportunities and challenges associated with integrating AI into the economics of heath care, expert facilitators will help AI algorithm developers consider the reimbursement, regulatory, and implementation issues that will influence payment. The program will also do the following:
"Machine learning and deep learning are emerging technologies with great potential that enable novel business models to translate these discoveries to improve patient care," says Paul G. Nagy, PhD, FSIIM, CIIP, chair of SIIM. "SIIM is excited to partner with the ACR on putting together a workshop to discuss the economics of machine learning in medical imaging right before the SIIM annual meeting this year in Washington, D.C."
The ACR DSI and SIIM Spring 2018 Data Science Summit: The Economics of Artificial Intelligence in Health Care will take place May 30, 2018, from 10:00 AM to 5:00 PM at the Gaylord National Resort in Oxon Hill, Maryland.
Allen and ACR DSI chief science officer Keith J. Dreyer, DO, PhD, FACR, will present along with Zeke Silva, MD, FACR, chair of the ACR Commission on Economics; Kurt Schoppe, MD, chair of the ACR Economics Committee on Reimbursement; Gregory N. Nicola, MD, FACR, chair of the ACR Economics Committee on MACRA; and members of the ACR Economics and Health Policy staff.— Source: ACR