Tashka Tech - AI Medical Coding

AI Medical Coding that accelerates reimbursements and reduces denials

Automate ICD/CPT coding from clinical documentation using AIβ€”while keeping clinicians and coders in control through transparent, auditable workflows.

Why Medical Coding Needs AI

  • Coding is still largely manual, time-consuming, and error-prone
  • Growing complexity of ICD, CPT, DRG, and payer rules
  • Shortage of trained coders and increasing cost pressures
  • Delays and denials directly impact hospital cash flow
[IMAGE PLACEHOLDER – Current-state coding workflow / pain points visual]

How Tashka Tech's AI Coding Works

Our AI platform converts unstructured clinical text into structured, standardized medical codesβ€”integrated directly into existing hospital workflows.

Core Capabilities

AI-Driven Code Suggestions

Automated ICD/CPT code recommendations generated directly from clinical notes

Evidence-Backed Coding

Highlights source text to show exactly where codes come from

Human-in-the-Loop

Coder review and approval keeps quality high and compliance intact

Continuous Learning

System improves from feedback and corrections over time

Full Audit Trail

Complete tracking for compliance, QA, and regulatory requirements

Regulatory-Ready Compliance

Built to meet payer, regional, and regulatory standards (ICD, CPT, payer rules), ensuring audit-readiness and consistent reimbursement across geographies.

From Clinical Note to Clean Claim

1

Clinical Documentation

Captured from OPD/IPD/Discharge summaries

2

AI Analysis

Parses and understands medical context

3

Code Generation

Suggested ICD/CPT codes with confidence scores

4

Human Review

Coder reviews, edits, and approves

5

Integration

Codes pushed to billing / RCM systems

6

Learning Loop

Feedback improves future accuracy

7

Audit & Compliance Logging

Every code, edit, and approval is time-stamped and traceable for payer audits and regulatory compliance.

8

Clean Claim Submission

Validated codes flow into claims with higher first-pass acceptance and faster reimbursement

See AI Medical Coding in Action

Coding Walkthrough Video Thumbnail
Clinical note β†’ AI code generation
Coding Walkthrough Video Thumbnail
Human-in-the-loop review & audit trail
Coding Walkthrough Video Thumbnail
Integration with billing / ERP

Built for Hospitals, Clinics, and Coding Teams

  • Works alongside existing EMR/HIS systems
  • Supports OPD, IPD, procedures, and discharge summaries
  • Scales from small clinics to multi-hospital groups
  • Cloud or hybrid deployment models

Transparent, Auditable, and Secure

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Explainable AI

Source-text traceability for every code

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Role-Based Access

For coders, auditors, and administrators

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Complete Audit Logs

Full compliance and review tracking

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Healthcare Security

Data privacy and enterprise-grade controls

HL7
FHIR
Audit Trails
Role-Based Access

Common Medical Coding Use Cases

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OPD Encounter Coding

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IPD Discharge Summary Coding

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Procedure & Surgery Coding

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Coding QA & Internal Audits

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Pre-Bill Validation

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Coding Productivity

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Fast, Low-Risk Deployment

1

Assess

Review existing coding workflows and data requirements

2

Pilot

Deploy with selected departments or case types

3

Validate

Confirm accuracy with coding teams and QA processes

4

Scale

Expand across hospital or network

5

Optimize

Ongoing tuning and governance for continuous improvement

[IMAGE PLACEHOLDER – Deployment timeline / rollout visual]

Modernize Medical Coding Without Disrupting Operations

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