Deriving ROI from Applied Artificial Intelligence in the Revenue Cycle

Deriving ROI from Applied Artificial Intelligence in the Revenue Cycle

Thursday, March 12, 2026 10:15 AM to 10:45 AM · 30 min. (US/Pacific)
Level 5 | Palazzo D
Education Sessions
Artificial Intelligence in Healthcare

Information

Discover how Northwell Health Laboratories, a large regional organization that processes five million claims annually, unlocked significant financial and operational gains through the practical application of embedded AI in revenue cycle management (RCM). This session explores how AI-powered exception processing reduced billing errors, cut the time to correct claims by 50 percent, minimized denials, and increased net collections—delivering measurable Return on Investment (ROI) within months. Attendees will learn how Northwell automated labor-intensive tasks, empowered managers to focus on higher-value initiatives and leveraged real-time analytics for more intelligent workflow prioritization. Beyond the laboratory, this case study illustrates how AI-driven automation and data intelligence can be applied across other hospital departments to streamline complex processes, enhance productivity and support better financial outcomes. Join us to learn practical strategies and key lessons that hospital and healthcare system leaders can use to accelerate digital transformation, drive tangible ROI, and build a scalable foundation for future innovation across clinical and administrative settings.

Topic
AI Applications for Operational, Administrative, and Strategic Transformation
Target Audience
CEO/COOCFO/VP Finance/Compliance OfficerCIO/CTO/CTIO/Senior ITPayer
Level
Intermediate
Format
Case Study
CEU Type
ACPEAHIMACAHIMSCMECNECPDHTSCPHIMSPMI/PDU
Contact Hours
0.50
Learning Objective #1
Identify the measurable business impacts—including efficiency gains, productivity improvements and revenue growth—achieved by adopting embedded AI in outpatient RCM
Learning Objective #2
Recognize how AI-powered exception processing can optimize revenue cycle management workflows, reduce billing errors and minimize denials
Learning Objective #3
Evaluate critical success factors, lessons learned, and considerations for technology and financial leaders seeking to implement or expand AI-based solutions in their healthcare systems
Session #
185

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