INFOGRAPHIC:
Visualizing AI Across the Revenue Cycle:
Healthcare Attitudes About Artificial Intelligence
Research Reveals AI Sentiment and Expectations for RCM
Inovalon surveyed more than 400 healthcare leaders and professionals familiar with revenue cycle management.
Health systems
Hospitals
Physician groups
Post-acute care providers
How AI Might Address RCM Challenges
Organization leaders pointed to areas where AI could improve their revenue cycle management. Overall, AI’s strengths and capabilities align with priorities articulated by leaders and managers: achieving greater revenue cycle efficiency and accuracy through automation.
Leaders’ optimism and excitement, coupled with a desire for rigorous testing and a human-led vs. AI-led approach, suggest that AI adoption will likely accelerate from this point forward with positive outcomes for providers.
Feelings About AI
The sentiment toward AI in revenue cycle management is generally positive, but many still expressed caution. This may indicate a need for appropriate guardrails to ensure the success of an AI-enabled revenue cycle.
Concerns About Using AI in Revenue Cycle Software
For many early adopters, uncertainty and caution are common as they initially engage with notable innovations and can be indicative of thoughtful consideration. The most common desire is for providers to remain in the driver’s seat when employing AI, with AI assisting in enhancing the revenue cycle management experience and optimizing outcomes.
Hesitations in adopting AI vary across provider organizations, with the top concerns including:
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- Why AI is poised to transform revenue cycle efficiency and accuracy across care settings
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- Candid AI observations and opinions directly from survey participants
Bonus!
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Source
“Exploring AI’s Role in Revenue Cycle Management.” Inovalon. July 2024. https://www.inovalon.com/resource/exploring-ais-role-in-revenue-cycle-management/