RevAmp, Vee Healthtek’s cutting-edge automation platform, revolutionizes end-to-end revenue cycle management workflows through artificial intelligence (AI), agentic AI, natural language processing (NLP), and advanced data analytics for transformative financial outcomes.
By leveraging Vee Healthtek’s end-to-end revenue cycle management platform, healthcare organizations can maximize yield, enable accurate reimbursement, and substantially reduce costs.
RevAmp's autonomous AI agent, Emily, optimizes scheduling and registration by making outbound calls to patients and payers according to clients' custom workflow prioritizations. With data-driven insights for front-end processes, RevAmp facilitates informed decision-making and sustainable financial growth.
Our agentic AI, Emily, autonomously contacts payers and benefit administrators using EDI transactions and direct payer communication to verify eligibility status. By accelerating insurance verification and minimizing manual effort, Emily improves quality, increases accuracy, decreases eligibility denials, and boosts revenue cycle efficiency.
RevAmp streamlines authorization and referral processes by combining advanced automation workflows, agentic AI, and data science for easier payer communication and improved patient access. The platform allows healthcare organizations to reduce denials for faster, more reliable cash flow.
RevAmp's coding automation functionalities minimize errors, improve code quality, and increase first-pass accuracy by pre-populating and recommending codes to our experienced medical coders. By leveraging AI-driven suggestions, we achieve higher clean claim rates, more accurate risk adjustment factor (RAF) scores, and reduced denials for enhanced compliance and financial integrity.
Revbot provides an overlay with intelligent user suggestions for all major EHRs to make decision-making simple. Delivering guided, intelligent support, Revbot enhances user productivity, accuracy, and confidence.
RevAmp lowers turnaround times and minimizes manual tasks by automating 276/277 transactions through PDC and Clearinghouse processes. Our agentic AI, Emily, drives faster reimbursements by verifying claims, resolving discrepancies, and addressing root causes for denials.
Agentic AI tool Emily executes complex, multistep processes to collect key patient information and perform status monitoring. By automating routine workflows, our payer direct connect functionality reduces denial delays, accelerates cash flow, and delivers faster, more accurate reimbursement.
Our data science–powered workflow, predictive modeling, and machine learning technologies enable early detection of payment variance by analyzing expected versus actual amounts. Advanced NLP and automation prioritize high-impact discrepancies to promote quicker reconciliation and revenue recovery.
RevAmp's data science workflow engine provides visibility into denial behaviors by turning raw data into actionable insights. By analyzing historical denial patterns and denial propensity scores, RevAmp outputs intelligent suggestions for workflow optimization, driving faster resolution and maximizing yield.
RevAmp’s dashboards provide full visibility of key performance metrics, including charges, payments, denials, reimbursements, and contract compliance. By monitoring trends, conducting root cause analysis, and taking swift corrective action, clients can reduce losses and drive stronger financial performance.
Our comprehensive AR dashboard supports strategic decision-making to ensure that operational focus stays aligned with financial goals. Our technology uncovers bottlenecks, high-risk inventory, and missed follow-ups to enable proactive resolution and a healthier bottom line.
