Navigating AI in Healthcare Revenue Cycle: Maximizing Efficiency, Minimizing Risks

May 21, 2024
at 12:30 pm CT
(60 minutes)

Michelle Wieczorek explores challenges, strategies, and best practices to AI implementation and ongoing monitoring in the middle revenue cycle through real-world use cases. She addresses critical issues such as the validation of AI algorithms, the importance of human validation in machine learning, and the delineation of responsibilities between buyers and vendors.

$279.00

Navigating AI in Healthcare Revenue Cycle: Maximizing Efficiency, Minimizing Risks

$279.00

As Artificial Intelligence (AI) applications rapidly expand, healthcare organizations and practitioners are eager to harness the benefits of these technologies, which promise to save time, improve patient flow, enhance profitability, and alleviate clinician burnout. However, concerns arise regarding compliance risks and the potential for errors and audits. With limited experience and understanding of these powerful tools, there’s a crucial need for guidance to ensure their effective and compliant use.

The solution: Join expert Michelle Wieczorek, RN, RHIT, CPHQ, CCDS-O, who will tackle the pressing challenges faced by healthcare organizations in adopting AI within the clinical revenue cycle.

Our webinar will delve into real-world AI adoption cases, exploring both the benefits and limitations. We’ll address critical issues such as the validation of AI algorithms, the importance of human validation in machine learning, and the delineation of responsibilities between buyers and vendors. Moreover, we’ll equip attendees with essential strategies to mitigate compliance risks and prepare for potential audits.

Why This Is Relevant:

Generative AI and Ambient AI technologies are being adopted at a breakneck speed, yet there is a lack of experience in healthcare with these powerful tools. Attendance is indispensable for healthcare professionals navigating the complexities of AI implementation.

Learning Objectives:

  • Understand and differentiate different types of AI to include Ambient AI, Generative AI and Natural Language Processing use cases in the middle revenue cycle.
  •  Understand the benefits of AI in the middle revenue cycle and why these technologies are proliferating rapidly.
  •  Understand some of the compliance risk areas for AI, with an emphasis on machine learning, autonomous coding and Ambient AI.
  •  Discuss emerging best practices for consideration in your organization.
  •  Understand implementation considerations in a healthcare organization, including performing a simple risk assessment and preparing for an audit.

Who Should Attend:

HIM Directors, Coding Directors, Revenue Cycle Leaders, Physician Practice Leaders, Coders, CDI Specialists, IT Analysts, Compliance Professionals, Auditors


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