MedaSync utilizes AI-driven software to analyze clinical documentation and reimbursement data in real-time, enabling Skilled Nursing Facilities to optimize MDS management and enhance revenue integrity across multiple payers. By automating the identification of key reimbursement elements, the platform saves users 2-3 hours per day, reducing reliance on manual workflows and improving overall efficiency.
Funding
$700K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Skilled Nursing Facilities (SNFs) face challenges in navigating complex, multi-payer reimbursement systems, leading to reliance on time-consuming manual workflows and potential revenue leakage. High staff turnover and disparate data sources further complicate accurate clinical data capture and Minimum Data Set (MDS) management.
Solution
MedaSync offers an AI-driven reimbursement software solution that streamlines MDS management and proactively improves revenue integrity for SNFs across all payers. The platform uses machine learning to continuously analyze clinical documentation in real-time, identifying key reimbursement elements before claims are processed. By automating utilization reviews and consolidating patient records, MedaSync reduces the manual workload on reimbursement teams, giving them time back to focus on critical thinking and patient care. The system monitors patient charts, compiles summaries of reimbursement-sensitive elements, and alerts teams to discrepancies, ensuring timely and accurate capture of billable services.
Target Audience
MedaSync primarily targets Skilled Nursing Facilities (SNFs) seeking to optimize MDS management, improve revenue capture, and reduce administrative burdens on clinical staff.
Features
- AI-driven analysis of clinical documentation to pinpoint key reimbursement elements
- Continuous intelligence that uses machine learning to improve accuracy over time
- Automated data extraction of patient history, symptoms, and diagnoses
- Daily analysis that compares live data against potential rate components (PDPM, RUG IV, RUG III, Levels or Exclusions)
- Consolidated patient records and alerts that automate MDS and case management workflows
- Integration with Electronic Health Records (EHRs) for real-time assistance
- Identification of discrepancies and potential compliance issues