Utilizing Data Analytics and Artificial Intelligence for Optimal Revenue Cycle Management

Introduction

Take This Event

Artificial intelligence plays a critical role in healthcare especially in the revenue cycle as it is streamlined, automates, and optimizes manual workflows leading to improved outcomes, lower costs, and enhanced smoother revenue cycle management. In the efforts to equip SHIMA members with up-to-date knowledge in topics related to health information management, the members of the SHIMA-CPD committee expressed the knowledge benefit to SHIMA members in Artificial Intelligence and will be the smooth transition from the previous CPD activity that covered the revenue cycle management in Healthcare. Therefore, this activity aimed to provide a brief knowledge of Data Analytics and Artificial Intelligence in Revenue Cycle Management to comprehend the knowledge needed in this regard.

Objectives

By the end of this webinar, the audience will:
• Underline the role of Data Analytics and AI during the RCM Cycle.
• Explain the benefits of AI applications in RCM.
• Identify the AI and data analytics methods and applications used during the RCM cycle.
• Define the Revenue Cycle Management
• Identify the Data Analytics process (such as workflow, system limitations, regulatory and payer guidelines)
• Recognize the KPIs for Business Intelligence & Revenue Cycle monitoring.
• Determine the tools used in Analytics and Artificial intelligence.
• Identify the Robotic Process Automation (RPA) in the Revenue Cycle
• Enhance the giving knowledge by using a real case study

See Registration Policies, Cancellations & Refunds