AI chart review for managed services organizations
Help your clients achieve new efficiencies across revenue cycle, coding accuracy, payer compliance, and clinical quality review.
Providers use fragmented, outdated technology.
Charta AI can integrate with any EHR to simplify a provider group’s tech stack and offer teams across the clinic a single source of truth for data and operations across RCM, compliance, physician performance management, and clinical quality.
AI chart review unlocks gains across back-office operations
With customized analysis across 100% of charts and encounters, teams across the organization gain access to a single, scalable layer of intelligence for enhancing every aspect of clinical operations.
13%
Percentage of revenue loss attributed to coding errors.
11%
Increase in RVU per encounter with AI chart review
Raise revenue per encounter
See how Charta helped a multispeciality provider discover missed revenue opportunities in 25% of its notes by scaling chart review across 100% of patient encounters.
Strengthen coding accuracy, documentation compliance, and clinical quality
Charta builds AI chart review solutions for organizations across the healthcare ecosystem. Our AI engineers customize every Charta integration to achieve the unique goals of clients across fee-for-service and value-based care providers.
This content is updated in the Solutions CMS Collection.
Preview the true content by either 1.) going into preview (play button in the top right) and enabling custom code (switch in the top left) or 2.) publishing to staging and viewing there.
Fully coded notes, guaranteed
Ensure clinicians document and code every encounter at the highest defensible level. Charta identifies missed opportunities for accurate coding across your entire patient population, helping you receive fair reimbursement for complex care.
Get peace of mind and greater control
By catching coding errors and documentation gaps pre-billing, Charta shifts your compliance strategy from reactive to proactive. Address issues while charts are still open, reducing denials and protecting your organization from payer audits.
Real-time provider feedback
Comprehensive analysis of every encounter gives clinical leaders actionable data on supporting quality measures, identifying care gaps and improving documentation quality. Automated feedback loops help providers improve in real-time, raising the quality of care and clinical records simultaneously.
More accurate HCC capture with less manual effort
Charta's AI analysis identifies potential diagnosis codes supported by clinical documentation, providing reviewers with direct citations to accelerate validation. The result: higher accuracy, faster turnaround, and reduced cost per chart reviewed.
Autonomous coding
Instant, accurate codes for every encounter
Charta reviews all documentation immediately after note submission to completely and accurately code every service.
Revenue discovery
End coding-related revenue leaks
Charta detects and corrects missed revenue opportunities by ensuring you code every service delivered, and verifies that E/M codes are billed at the highest defensible level.
Payer compliance
Get peace of mind and greater control
By catching coding errors and documentation gaps pre-billing, Charta shifts your compliance strategy from reactive to proactive. Address issues while charts are still open, eliminating preventable denials and audit exposure.
Clinical quality
Real-time provider feedback
Comprehensive analysis of every encounter gives clinical leaders actionable data on supporting quality measures, identifying care gaps and improving documentation quality. Automated feedback loops help providers improve in real-time, raising the quality of care and clinical records simultaneously.
Risk adjustment
Higher ROI and greater insights into risk adjustment
Charta's AI analysis identifies missed diagnosis codes supported by clinical documentation, providing reviewers with direct citations to accelerate validation. The result: higher accuracy, faster turnaround, and reduced cost per chart reviewed.
