Charta
Charta: A broad EHR-connected coding and revenue review platform with contact-sales pricing. Ranked #19 of 36 in AI Medical Coding Software by our editors (6.7/10); pricing: Pricing on request; best for EHR-embedded coding and revenue opportunity discovery.
At a glance
- Editor score6.7 / 10
- PricingPricing on request
- Best forEHR-embedded coding and revenue opportunity discovery
- Autonomous codingYes
- Founded2023 · San Francisco, California, United States
- Facts checked28 Sep 2026
Where it wins
- Autonomously codes provider notes and visits, with direct EHR autocorrection
- Identifies HCC evidence, revenue opportunities and E/M-leveling issues
- Combines payer checks, audits, analytics and configurable EHR chart pulls
Where it doesn't
- Pricing requires a sales conversation rather than published plans
- Customized EHR work may require dedicated engineering coordination
- Problem charts still enter a human-in-the-loop review queue
Our verdict on Charta
Charta is an AI chart-review and autonomous medical-coding platform for healthcare providers, payers, management services organizations and health systems. It connects with electronic health records, analyzes documentation after notes are closed, and identifies coding or documentation gaps before billing. Its scope includes autonomous coding, coding-error correction, risk-adjustment and HCC evidence discovery, revenue opportunity analysis, E/M-leveling review, payer-compliance checks, clinical-quality analytics and provider feedback. That breadth makes it relevant to organizations seeking one workflow for coding, compliance and revenue review.
Charta uses contact-sales pricing, with prospective customers directed to request a demo. Its integration model supports configurable connections to EHRs, commercial EMRs and homegrown EMRs, plus automated chart pulls. The vendor describes customized implementations with dedicated engineering support and says the platform can process every patient encounter rather than relying on sampled charts. Buyers should therefore expect an implementation discussion centered on their EHR environment, chart flow and review requirements instead of selecting from self-serve tiers.
The standout capability is the combination of autonomous coding and downstream validation: Charta can autocorrect coding mistakes in the EHR, route problem charts to human reviewers, conduct pre-billing audits and check denial risk. Risk-adjustment evidence, clinical-quality analysis and provider feedback extend the workflow beyond basic note coding. Organizations that need configurable EHR-connected review across coding, compliance and revenue functions should consider Charta. Teams seeking a simple standalone coder, instant self-service deployment or fully autonomous handling of every exception may prefer a narrower alternative.
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Charta pricing
Charta fact sheet
| Free plan | Not verified |
|---|---|
| Paid from | Not verified |
| Autonomous coding | Yes |
| Risk-adjustment coding | Yes |
| Coding validation | Yes |
| Audit trail | Not verified |
| Coding scope | Multi_scope |
| Deployment | Not verified |
| Compliance support | Yes |
| Compliance & security | SOC 2, GDPR, HIPAA |
| Support | Email, Phone |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 2 integrations: Electronic health records (EHRs), Commercial and homegrown EMRs |
| Pricing | Pricing on request |
| Website | chartahealth.com |
| Facts checked | 28 Sep 2026 |
Charta integrations
Charta lists 2 integrations on its own site.
- Electronic health records (EHRs)
- Commercial and homegrown EMRs
Alternatives to Charta
- Wolters Kluwer Coder WorkbenchEnterprise chart review software combining AI-assisted diagnosis coding with regulatory audit workflows.9.3
- Solventum 360 Encompass SystemA broad hospital coding and revenue cycle system with cloud and on-premises options.9.1
- AGS Health Computer-Assisted CodingCloud-based coding support with NLP suggestions, worklists, encoder and audit tools.8.8
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Featured on iTechGuides
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Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
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