Home » Risk Adjustment Technology » AI AutoCode
As primary care clinicians face increasing workloads, the risk of burnout and reduced patient satisfaction grows. To combat these challenges, AI AutoCode
offers an advanced prospective pre-visit risk adjustment solution designed to enhance efficiency.
Metacare AI’s AI AutoCode
leverages AI-powered NLP technology to analyze comprehensive patient data, including charts, claims, lab reports, and pharmacy records, identifying chronic conditions with MEAT-backed evidence. Seamlessly integrating with Electronic Health Records (EHRs), it enables accurate chart reviews, reducing administrative burdens and allowing clinicians to focus on delivering quality patient care.
Seamlessly integrates with Electronic Health Records (EHR) to efficiently review 360-degree longitudinal data, including charts, claims, lab reports, pharmacy records, and more.
Recapture and manage existing chronic conditions accurately and efficiently to enhance patient care and risk adjustment outcomes.
Break down informational silos between past and present patient data, ensuring comprehensive and continuous care without missing critical details.
Recapture and manage existing chronic conditions accurately and efficiently to enhance patient care and risk adjustment outcomes.
AI AutoCode provides justification with supporting evidence and customizable filtering options for precise risk adjustment.
Ensure the security, availability, confidentiality, privacy, and processing integrity of patient data with robust compliance measures.
Safeguards the confidentiality, integrity, and availability of Protected Health Information (PHI).
Safeguarding patient health information (PHI) with advanced security measures and stringent compliance standards.
AI AutoCode seamlessly integrates with existing EHR systems, leveraging AI and NLP to enhance functionality while maintaining smooth workflows. This integration enables efficient chart reviews, automated risk capture, and real-time insights without disrupting clinical operations.
AI AutoCode employs a robust blend of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to ensure accurate and efficient chart review, enabling precise risk adjustment and streamlined clinical workflows.
By automating the review of charts, claims, lab reports, pharmacy records, and more, AI AutoCode significantly reduces the administrative workload. This allows clinicians to focus more on patient care and less on tedious, time-consuming tasks, ultimately alleviating burnout.
AI AutoCode accurately identifies and recaptures existing conditions while detecting care gaps and overlooked chronic conditions. This ensures precise documentation and coding, ultimately optimizing Risk Adjustment Factor (RAF) scores for improved reimbursements.
AI AutoCode leverages 360-degree longitudinal data, including electronic health records (EHRs), claims data, lab reports, pharmacy records, and other relevant clinical documents to ensure a comprehensive pre-visit risk assessment.
