Lilly Scott
Stories (15)
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How Agentic AI Is Transforming Healthcare Workflows
Agentic AI is shifting healthcare automation from isolated, task-based tools to systems that can autonomously plan, decide, and act across interconnected workflows. Instead of supporting a single function like documentation or scheduling, agentic AI coordinates patient intake, care coordination, clinical documentation, and follow-up activities using real-time context and predefined goals. This evolution mirrors broader industry trends where AI-driven healthcare workflows are being adopted to reduce administrative burden, improve care continuity, and enhance operational efficiency across healthcare organizations.
By Lilly Scott30 days ago in Journal
Audit Analytics in Healthcare Revenue Cycle Management
Revenue integrity leaders, RCM directors, compliance officers, healthcare CFOs, and audit managers responsible for protecting reimbursement, preventing payer recoupments, and maintaining regulatory compliance.
By Lilly Scottabout a month ago in Writers
How Application Engineering Modernizes the Healthcare Revenue Cycle. Content Warning. AI-Generated.
Healthcare Revenue Cycle Management (RCM) has witnessed a rise in complexity owing to the increase in regulatory complexity, variability in payer rules, and the challenge of shrinking the cost of administrative functions. The majority of healthcare institutions happen to have disparate applications, manual processes, and outdated technology, including the potential for slowing down or increasing the rate of errors in revenue generation. This is precisely why Application Engineering in Healthcare RCM comes into the picture.
By Lilly Scott2 months ago in Education
