The AI agents leverage the advanced capabilities of Amazon Claude, a Large Language Model (LLM), to help you streamline workflows, improve accuracy, and enhance patient care.
Understanding the AI Agents
The AI agents are powered by Amazon Claude, an LLM that has been specifically trained by Anthuria on a vast amount of SNF data and language in partnership with SNF customers like you. This means the model was built from the ground up with SNF language, context, and needs in mind, ensuring it understands the nuances of your clinical documentation and workflows.
Key Capabilities of the AI Agents
Contextual Understanding: Unlike traditional word-matching tools, the AI agents understand the meaning of words and phrases within their clinical context. This minimizes false positives and ensures more accurate identification of potential issues.
Implicit Information Recognition: The AI agents can identify information that is implied but not explicitly stated in clinical documentation. For example, it can recognize "patient found on the floor" as a fall, even if the word "fall" is not used.
Continuous Learning: The AI agents learn from your feedback, constantly improving its accuracy and performance over time.
How the AI Agents Work Across Anthuria Applications
The AI agents are integrated into various applications on the Anthuria platform, providing intelligent assistance and insights tailored to specific tasks and workflows. Here are some examples:
MDS 3.0 (Medicare Reimbursement): The AI agents review clinical documentation, identifies potential coding discrepancies, and suggests changes to optimize Medicare reimbursement.
Clinical Pulse (Real-time Insights): The AI agents analyze EHR notes, identifies potential clinical triggers, and provides explanations and direct EHR access for efficient review.
Best Practices for Working with the AI Agents
Regular Review: Make it a habit to review the dashboards, suggestions, and insights provided by the AI agents in each application.
Clinical triggers: Configure triggers for the clinical activities and behaviors that are important for your specific facility to ensure the agent is reviewing all your EHR notes to identify those triggers for you.
Integrate with Existing Workflows: Incorporate the AI agents into your existing workflows to maximize efficiency and effectiveness in each application.
Review Supporting Documentation: Always review the supporting evidence provided by the AI agents before making decisions.
Benefits of Using the AI Agents
Increased Efficiency: Automates tasks and reduces time spent on manual review across all applications.
Improved Accuracy: Minimizes errors and ensures more accurate data analysis and decision-making.
Enhanced Decision-Making: Provides clinicians with valuable insights to support informed decision-making.
Application-Specific Benefits: Each application leverages the AI agents to deliver specific benefits, such as optimized reimbursement in MDS 3.0 and proactive risk identification in Clinical Pulse.
By understanding how the AI agents works and following these best practices, you can effectively leverage its capabilities across all Anthuria applications to optimize your workflows, improve patient care, and achieve better outcomes.