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  • Discuss assessing and selecting the right technologies (e.g., EHRs, automation tools, AI, and analytics platforms) that align with an organization’s RCM needs and overall goals, considering factors like cost, scalability, and ease of integration.
  • Explore the technical challenges of integrating diverse technologies into existing RCM workflows, including data interoperability and system compatibility.
  • Address the human element of technology adoption, focusing on how to manage change within the organization, train staff effectively, and foster a culture of innovation to ensure successful implementation.
  • Discuss how to measure new technologies and return on investment (ROI), including key metrics like reduced Days in AR, increased collection rates, improved patient satisfaction, and cost savings.
Revenue Cycle Management

Author:

Brennan John

Director, Revenue Cycle
Intermountain Health
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Brennan John

Director, Revenue Cycle
Intermountain Health
  • This is your opportunity to dive deep into data challenges in your RCM.
  • Explore methods to improve data quality at the point of entry.

  • Address the difficulties in integrating data across disparate systems such as EHRs, billing platforms, and payer systems, and the role of standardization in improving data flow and communication.

  • Explore the use of robotic process automation (RPA) and AI for automating routine data tasks, reducing errors, and enhancing data processing speed across the revenue cycle.

  • Review how to ensure compliance with healthcare regulations (HIPAA, GDPR, etc.) when handling patient data and the importance of protecting sensitive information against breaches and unauthorized access.

Revenue Cycle Management