Every geriatric chart, reviewed before it bills
Geriatric care combines annual wellness visits, chronic care management, advance care planning and complex problem-oriented visits, often for the same patient in the same month. Charta uses AI to correct undercoded E/M, capture documented services that were never coded, and flag documentation gaps before the claim goes out.
In geriatrics, complexity is the norm
An annual wellness visit has required elements, and a problem addressed in the same visit needs its own documentation and modifier 25. Chronic care management and advance care planning depend on documented time and consent. For Medicare Advantage patients, every chronic condition needs documentation that supports the diagnosis. When your team can only audit a few charts per provider each quarter, the rest of your volume goes out unchecked.
Coding, time and documentation checks on every encounter
Charta's CPC-certified team translates your audit checklist, including your rules for wellness visits, care management time and same-day services, into an autonomous AI engine for pre-billing chart review.
100%
Charta reviews every encounter note for revenue integrity.
13%
Revenue leak attributed to coding errors
Missed services don't show up as denials.
A denied claim gets worked. An advance care planning conversation that was documented but never coded doesn't appear in any report, so the revenue is simply lost.
Built around your EHR workflow, not on top of it
Charta works between the signed note and the claim, the same window your coders and billers already work in. Providers keep documenting the way they do today, and your Charta AI engineer builds the review workflow to fit your EHR.
Instant, accurate codes for every encounter
Charta reviews all documentation immediately after note submission to completely and accurately code every service.
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.
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.
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.
Higher ROI and greater insights into risk adjustment
Charta's AI analysis identifies missed opportunities 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
Clinical quality analytics across every encounter
Charta's clinical quality analytics give clinical leaders actionable data on quality measures across every encounter, 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 risk adjustment coding opportunities supported by clinical documentation, providing reviewers with direct citations to accelerate validation. The result: higher accuracy, faster turnaround, and reduced cost per chart reviewed.
