Revenue Integrity Guard sits inside the EHR and reviews every encounter through the payer's lens before the clinician saves. Documentation gaps, coding errors, medical necessity failures, and medication safety issues — caught in real-time, while the patient is still in the encounter.
Claims are not denied because care was wrong. They are denied because the documentation did not establish medical necessity, coding specificity, or NPHIES compliance in the language payers require. These failures originate at the point of documentation — and that is where they must be caught.
Symptom codes as principal diagnosis, missing secondary diagnoses, and incomplete procedure justification cause first-pass rejections.
15-25%First-pass rejection rateRetrospective CDI queries, resubmissions, and manual coding corrections consume hours per denied claim.
1.5 hrsAverage rework per denialInsufficient documentation of medical necessity creates downstream denial risk that compounds across claim volumes.
SAR 8,500Average denial exposureCBAHI and NPHIES audits flag documentation that does not meet regulatory standards, creating financial and reputational risk.
5-12%Charts flagged per audit cycleThree steps that fit into the existing clinical workflow. No EHR-side installation. No workflow disruption. The clinician documents as usual — Revenue Integrity Guard adds a second set of eyes, trained on the payer's rulebook.
The extension reads every field in the encounter form — diagnoses, medications, vitals, orders, procedures — using field-type classification that works across any EHR layout.
Deterministic rules and AI models run simultaneously: drug interactions, vital range checks, ICD-10-AM specificity, NPHIES validation, medical necessity assessment, and CHI treatment algorithm cross-referencing.
Findings surface in a side panel with severity levels, evidence citations, and one-click corrections. The clinician reviews, accepts or rejects each flag, and saves with documentation that withstands payer scrutiny.
Revenue Integrity Guard adapts its findings to the reviewer's role and workflow stage. Each stakeholder sees the issues that matter to their function — with the right level of detail and actionability.
Real-time flags while documenting: unspecified codes, missing diagnoses, medication safety issues, and documentation gaps.
Verify that the documentation establishes medical necessity for every service rendered, per NPHIES requirements.
Catch NPHIES rejection risks before submission: missing fields, format errors, code mismatches, and claim-level validation.
Ensure the most specific ICD-10-AM code supported by documentation, correct DRG assignment, and complete capture of comorbidities.
Identify the root cause of rejections and denials, generate corrective documentation, and support appeal narratives with evidence.
Run audit simulations across encounter batches, identify compliance gaps, and generate defensibility reports with source citations.
All AI processing runs on a governed server. The browser extension is a thin client that handles only DOM scanning and UI. API keys, prompt templates, and clinical rules never leave the server. Patient data is scrubbed before any AI request.
All communication between the extension and server is encrypted. No API keys stored in the browser. Credentials managed server-side only.
Saudi IDs, Iqama numbers, MRNs, phone numbers, and patient names are redacted before any data leaves the browser. Zero PHI in logs.
Clinical rules, AI models, and code lookup datasets run on the server. Prompt templates and proprietary logic are never exposed to the client.
Analytics events store only metadata, hashes, and counts. No patient-identifiable information is persisted anywhere in the system.
// Analytics event — no PHI stored
{
"eventId": "evt-00127",
"eventType": "suggestion.applied",
"sessionId": "sess-abc-123",
"findingId": "f-0042",
"severity": "high",
"findingType": "icd10_specificity",
// No patient names, IDs, or clinical data
"verificationStatus": "verified",
"attributionType": "deterministic",
"sourceAuthority": 1
}Start with the local demo, evaluate with your own data, then deploy where your compliance and infrastructure requirements demand.
Run entirely on your machine. Demo EHR with 13 clinical scenarios. Zero cloud dependencies. Evaluate functionality before committing.
Managed cloud service with all AI providers included. Cross-device settings sync. Automatic updates. No infrastructure management.
Deploy to your own cloud tenant. Data stays within your boundary. Custom AI provider configuration. Dedicated support.
Full on-premise deployment. Air-gapped option. Custom clinical rules. Local LLM support. Complete data sovereignty.
No administrator privileges required for a single-user install. Works on Windows 11, macOS, and Linux Chrome. CPU-architecture-independent.
Grab ai-medical-evaluator-v2.0.0.zip below and unzip it
to a permanent location you control (e.g.
C:\Users\<you>\MedEval\).
Navigate to chrome://extensions/ and toggle
Developer mode on (top-right corner).
Then click Load unpacked.
Works the same way in Edge at edge://extensions/.
Select the unzipped folder. The MedEval icon appears in your toolbar — pin it for one-click access. Open any web-based EHR form and click the icon to scan.
First-run: enter your facility server URL & credentials in Settings.
Run the demo locally with synthetic patient encounters. Test against 13 clinical scenarios including documentation gaps, coding errors, drug interactions, and NPHIES rejection risks. No real patient data. No cloud account required.
Whether you are a facility evaluating the platform, a health system planning a pilot, or a payer interested in provider-side integration, we would like to hear from you.
In demo mode, messages are stored locally. No data is sent externally.