AKASA

The platform connects to EHRs and clinical data repositories through an API, EDI or other standards based integrations, and Claim Status returns its interpreted results into the customer's EHR. AKASA does not name the EHRs it writes to. AI Advisor reads live patient data from the EHR securely, and Auth Status checks payer portals and documents the results.

SourceAKASA, akasa.com/platform, /solutions/ai-advisor and /solutions/auth-status; akasa.com/solutions/claim-statusread 2026-10-05

Coding Optimizer runs a fixed five step flow (review encounters, analyze, present suggestions, coder validates, coder approves), and the Prebill Optimization Suite unifies coding and CDI review. The pipeline is fixed, and AKASA names no branching, conditions, multiple agents or flow the customer configures.

SourceAKASA, akasa.com/solutions/coding-optimizerread 2026-10-05

AI Advisor gives cited answers from live EHR data and clinical documentation for each query, and AKASA's models are trained on 57 million clinical documents and counting, with tailored models fine tuned on a health system's own data. AKASA names no retrieval structure it maintains over the organization's own knowledge. Revenue cycle staff use AI Advisor for prior authorization, denials, preparing peer to peer calls and clinical validation.

SourceAKASA, akasa.com/solutions/ai-advisor and /platformread 2026-10-05

Coders validate each AI suggestion against its justification and direct quotes and approve the codes before they are applied. The system does not code encounters on its own. Staff accept or reject each recommendation directly in the platform.

SourceAKASA, akasa.com/solutions/coding-optimizer and /accuracyread 2026-10-05

AKASA claims HITRUST CSF, SOC 2 Type 2, NIST 800-53 and CIS, with MFA, access logging for PHI and FIPS 140-2 encryption on AWS. It names no SSO, roles or other customer access model. Its AWS setup follows CIS Level 1 hardening with network and host firewalls, isolated subnetworks, a ZeroTrust VPN and monitoring of automation and access around the clock.

SourceAKASA, akasa.com/platform/trust-securityread 2026-10-05

Each suggestion carries clinical evidence, coding references, direct quotes, links to the supporting documentation and a confidence score, so each decision comes with its rationale. AKASA names no audit log or run record of what the AI read and did. Its PHI access logging is a security control for AKASA's own systems. Reporting is one of the platform's five parts.

SourceAKASA, akasa.com/solutions/coding-optimizer and /platformread 2026-10-05

The tool has no memory that AKASA names, and nothing is said about what memory would hold or for how long. Every review, by AKASA's account, helps the tool adapt to workflows, provider styles and evolving coding guidelines.

SourceAKASA, akasa.com/accuracyread 2026-10-05

Hosting is on AWS, with no region, region choice, customer environment or on premises option named. That AWS environment follows CIS Level 1 hardening.

SourceAKASA, akasa.com/platform/trust-securityread 2026-10-05

Separately adoptable named products each do their own job. They are Coding Optimizer, CDI Optimizer, AI Advisor, Auth Status and Claim Status, with the Prebill Optimization Suite bundling coding and CDI. Behind the products sits an in house team of revenue cycle experts averaging 15+ years in the industry.

SourceAKASA, akasa.com/solutions and /platformread 2026-10-05

Coding Optimizer reviews 100 percent of encounters automatically at the prebill stage, and Auth Status obtains well timed statuses for pending authorization requests without staff starting it. Coding Optimizer covers every service line and ranks opportunities by DRG impact, quality indicators and AI confidence.

SourceAKASA, akasa.com/solutions/coding-optimizer and /solutions/auth-statusread 2026-10-05

The models are AKASA's own healthcare models, trained on 57 million clinical documents and counting, and tailored models fine tuned on a health system's own data. AKASA names no outside provider and offers no customer model choice.

SourceAKASA, akasa.com/platformread 2026-10-05

There is no published API, SDK or MCP server for the AKASA platform. The API AKASA names is how it reads the customer's EHR, which runs the other way. Integration is one of the platform's five parts, alongside generative AI, experts, reporting and security.

SourceAKASA, akasa.com/platformread 2026-10-05

Staff accept or reject each recommendation, and AKASA says every review helps the tool adapt to the organization's workflows, provider styles and coding guidelines. AKASA does not explain how that learning works or report its results, and it names no evaluation harness or customer accuracy monitoring. It measures outcomes as net new revenue per 10,000 discharges and gains in quality indicators such as risk adjustment and severity capture.

SourceAKASA, akasa.com/accuracyread 2026-10-05

Claim Status continuously adapts to changing payer portals, and Auth Status obtains statuses on payer portals, so both act inside third party platforms. AKASA does not say how, and it names no other browser, desktop or computer control. Auth Status checks payer portals automatically in place of manual lookups, and Montage Health cut its auth work queue by 22%.

SourceAKASA, akasa.com/solutions/auth-statusread 2026-10-05