Health information management and revenue cycle teams are overwhelmed by document-heavy workflows — from intake packets and physician orders to clinical notes and appeal evidence. Manual separation, classification, and data entry slow cycle time, increase administrative burden, and limit scalability.
Forward-looking health systems are now applying generative AI and large language models to automate these steps — unlocking operational efficiency and financial performance.
The result: faster appeals for denied claims, accelerated clinician access to critical data for informed decision-making, and enhanced compliance and audit readiness through transparent documentation and traceable workflows.
In this session, Nebraska Medicine and University of Iowa Health Care will share where AI is delivering measurable value — and the outcomes that matter most to finance, HIM, and technology leaders.
Learnings include:
- Where GenAI delivers immediate ROI in HIM and RCM workflows
- How Nebraska Medicine and University of Iowa Health Care achieved time savings, accuracy gains, and faster time to value
- How to establish governance and guardrails to ensure safe, compliant AI adoption
