The AGS Health CDI module is a key component of the AGS AI Platform, designed to elevate the accuracy and efficiency of Clinical Documentation Improvement (CDI) programs within healthcare organizations. It utilizes advanced technologies including Artificial Intelligence (AI), Natural Language Processing (NLP), and Machine Learning (ML) to automatically analyze digital patient charts. The primary function is to identify errors, inconsistencies, or missing diagnoses and suggest potential queries to physicians, ensuring the patient's condition is translated into precise codes accurately for better clinical information, compliance, and revenue.
The platform fosters collaboration by providing a unified data environment for Coding, Health Information Management (HIM), Clinical, and CDI teams. Key features include Intelligent CDI Worklists that prioritize charts based on suggested queries, allowing staff to focus on the most relevant cases before coding. It supports concurrent review with real-time synchronization of clinical notes and attachments from the EHR. The system also includes Automatic Query Suggestions based on predictive coding and a library of over 100 query templates.
For coding accuracy, the software comes with an integrated 'book-based' encoder, integrated reference guides with anatomical information, and built-in DRG/MSDRG grouping, with an optional integration for the 3M APR Grouper. The solution is reported to drive significant improvements, including an estimated 3%–7% increase in Case-Mix Index (CMI) and a 30%–50% reduction in denials.
Target users are healthcare providers, hospitals, and health systems looking to optimize their revenue cycle management, coding, and compliance. The system is deployed as a cloud-based SaaS solution with an available API and strong security features like PHI Data Encryption, 2FA, and Role-Based Access Control, ensuring HIPAA and ISO compliance.