AI chart review for home health
Charta's AI surfaces missing codes and insufficient documentation immediately after notes are submitted, eliminating the burden of manual chart review and fixing revenue leaks and eliminating compliance risk before charts are translated to claims.
Clinicians want to work with patients—not paperwork.
Take CPT coding off your team's plate: Charta can accurately code every note from provider documentation as soon as the note closes in your EHR, and immediately alert providers of any documentation insufficiencies across payer-specific guidelines.
Automate provider feedback
Charta gives clinical leadership comprehensive data insights into provider performance across coding accuracy, documentation compliance, care delivery, and revenue generation. Clinical supervisors can even automate feedback immediately post encounter, or by automatically generated provider scorecards distributed at regular intervals.
90%
Percentage point increase in pre-bill chart review coverage with AI
Total compliance review coverage across 5 encounter types
See how a Charta gave a home health and hospice provider guaranteed compliance across various subspecialty encounter types, including skilled nursing, therapy (PT/OT), and aid services.
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.
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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.
