Distance Learning

AI and Health Law, Part II: Payment and Coverage Issues

Includes a Live Event on 03/31/2020 at 2:00 PM (EDT)

Time: 2:00-3:30 PM Eastern (90 minutes)
Session Format: Live Webinar
CLE Credit Available:  Yes

In most states, AHLA webinars meet the requirements for continuing legal education and attorneys may self-apply for CLE credit. AHLA’s live distance learning webinars are pre-approved for CLE credit in the following states: Alabama, Illinois, Nebraska, New Jersey, Pennsylvania, South Carolina, Texas, Virginia and West Virginia. Please refer to Distance Learning CLE reporting procedure for more information.

This session will discuss payment models for AI in health care, including discussion of program integrity issues. It will also explore the use of AI for health care claims processing, in particular addressing how predictive and automated technology are being used in the revenue cycle and the resulting legal and compliance concerns.

Level of Difficulty: Intermediate

  • AHLA Member: Complimentary
  • Non-AHLA Member: $199


Content Lead:

  • AHLA

R. Ross Burris

Shareholder

Polsinelli PC
Atlanta, GA
Bio

Jared Sorenson

Vice President, Revenue Cycle Solutions

3M
Bio

Jason Mark

Director, Data Science and Natural Language Understanding

3M
Bio 

AI and Health Law Convener

AHLA is hosting a day-long convener on AI and Health Law at the Microsoft Innovation & Policy Center in Washington, DC on March 10, 2020. This meeting will bring together more than a dozen thought leaders including regulators, clinicians, private practitioners, and other leading authorities for an in-depth discussion of AI in health care. Although AHLA conveners are closed to the public and press to ensure a full and open dialogue among invited stakeholders, the main perspectives and themes from the discussion will be summarized and consolidated into a white paper that will be distributed to convener attendees, AHLA leaders and members, and the public in early summer 2020. 

AHLA has created an AI and Health Law Hub which is open to the public and includes AHLA publications and other resources pertaining to artificial intelligence and health care.


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