HCC Sage: Prospective Previsit Risk Adjustment Solution for Clinical Teams
Leverage AI & NLP to enhance care, optimize risk capture, and alleviate administrative burdens
Accurate & Scalable Chart Review for Clinical Teams
In the modern healthcare landscape, the demands on primary care clinicians are escalating, often leading to burnout and decreased patient satisfaction. Amidst these challenges, HCC SAGE emerges as a beacon of innovation designed to streamline prospective pre-visit risk adjustment solutions.
RAAPID‘s HCC Sage is an AI Powered Prospective Previsit Solution that uses NLP to analyze patients’ 360-degree longitudinal data, including charts, claims, lab reports, and pharmacy records, to identify chronic conditions and provide supporting MEAT evidence. It integrates seamlessly with Electronic Health Records (EHR) to ensure a smooth, accurate chart review process. As a result, clinicians can spend more quality time with patients, addressing their needs thoroughly rather than being entangled in administrative chores.
Your ICD-10-CM Code Care Gap Analysis Technology for VBC Risk Adjustment
Top Challenges Faced by Physicians, Nurses, and Administration Staff
Traditional chart reviews can inefficiently use valuable time, often requiring hours of manual labor.
Training and Skill
The need for more skilled nurses for chart review can lead to errors, exacerbating the administrative burden.
Quality of Care
The cumbersome administrative tasks divert attention from patient care, potentially compromising the quality of healthcare delivery.
The overwhelming amount of data within EHRs can contribute to stress and burnout among physicians, nurses, and admin staff.
Introducing HCC SAGE: How it Works
Advantages of HCC SAGE
Slash chart review time by 60%, thanks to the AI/NLP-powered human-in-the-loop within an EHR-integrated workflow.
Minimize the administrative stress on your clinical teams, creating a conducive environment for quality care.
Elevated Care Quality
Analyze 360-degree longitudinal data, addressing care gaps and enhancing patient care experience.
Increase RAF Score
By accurately capturing and documenting diagnosis codes, optimize the Risk Adjustment Factor (RAF) score, which leads to optimized Medicare reimbursement.
Make the Most out of RAAPID’s AI Risk Adjustment Technology
Data Use Security Measures
Security | Compliance | Platform Partners
SOC 2® Type 2
Ensure patient data security, availability, confidentiality, privacy, and processing integrity.
Individuals' health information is properly protected while allowing the flow of it needed to provide and promote high-quality health care.
Advanced security features such as encryption and firewalls to protect patient data from unauthorized access or cyber-attacks.
FAQs related to HCC SAGE Prospective Previsit Solution
HCC SAGE is designed to seamlessly integrate with your existing EHR system, enhancing its functionality without disrupting current workflows.
HCC SAGE employs a robust blend of Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) to ensure accurate and efficient chart review.
Automating the review of charts, claims, lab reports, pharmacy records, and more. HCC SAGE significantly reduces administrative workload, allowing clinicians to focus more on patient care and less on tedious tasks.
HCC SAGE accurately identifies and recaptures existing conditions and suspects care gaps and overlooked chronic conditions, which assists in optimizing Risk Adjustment Factor (RAF) scores.
To provide a comprehensive pre-visit risk assessment, HCC SAGE analyzes 360-degree longitudinal data, including charts, claims, lab reports, pharmacy records, and more.