Lilly Scott
Stories (11)
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How Top NLP Companies Are Transforming Enterprise Automation
Enterprise automation is evolving rapidly as organizations seek smarter ways to manage operations, reduce manual workloads, and improve efficiency. While traditional automation focused on rule-based systems, modern enterprises now rely on artificial intelligence to handle complex, language-driven tasks.
By Lilly Scott3 days ago in Writers
How to Choose Between Agentic AI and Generative AI for Your Business
AI adoption is accelerating but not all AI approaches solve the same problems. One of the most common questions leaders face today is how to choose between agentic AI vs generative AI. While both are powerful, they serve very different business objectives. Understanding those differences is critical to making the right investment.
By Lilly Scott4 days ago in Writers
Autonomous AI Agents for Medical Billing and Revenue Cycle Operations
Autonomous AI is redefining how healthcare organizations manage billing and revenue cycles. Instead of reacting to errors and denials, enterprises are adopting autonomous AI agents for RCM to proactively manage workflows, decisions, and outcomes across the entire revenue lifecycle.
By Lilly Scott5 days ago in Writers
Emerging Trends in Healthcare RAG Systems
Retrieval-Augmented Generation (RAG) is rapidly evolving in healthcare, driven by the need for accuracy, explainability, and regulatory compliance. Below are the key trends shaping how healthcare organizations are adopting and scaling RAG systems.
By Lilly Scott10 days ago in Writers
The Role of Agentic AI in Modern Medical Billing and RCM
Medical billing and revenue cycle management (RCM) have become increasingly complex due to evolving payer rules, regulatory pressure, and rising claim volumes. Traditional automation and manual workflows are no longer sufficient to keep pace. This is where agentic AI medical billing is emerging as a transformative force enabling healthcare organizations to automate, optimize, and continuously improve end-to-end RCM processes.
By Lilly Scott11 days ago in Writers
Barriers to NLP Adoption in Healthcare Organizations
Natural Language Processing (NLP) has the potential to unlock enormous value in healthcare from improving documentation quality to streamlining revenue cycle operations and strengthening data governance. Yet despite years of promise, NLP adoption across healthcare organizations remains uneven and slow.
By Lilly Scott13 days ago in Writers
How NLP Improves Accuracy in Medical Billing and Coding
Introduction: Why Medical Billing Accuracy Is Still a Problem Medical billing and coding errors remain one of the most persistent—and expensive problems in healthcare operations. Denials, delayed reimbursements, compliance audits, and revenue leakage often trace back to one root cause: language complexity in clinical documentation.
By Lilly Scott21 days ago in Writers
How AI Agent Development Companies Design Autonomous Workflows
Autonomous workflows aren’t about replacing humans they’re about removing friction from decision-heavy processes. AI agent development companies focus on designing systems that can observe, decide, act, and improve with minimal human intervention.
By Lilly Scott25 days ago in Journal
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 Scott27 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
