Every Code Matters—Get It Right the First Time

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Two Models, One Goal—Efficient Diagnostic Coding

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API Plan

Ideal for organizations that want to integrate diagnostic code mapping into existing workflows without a complete software overhaul.

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Quick Deployment: Start integrating in minutes, not months.
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Scalable Infrastructure: Adjust usage as your business grows.
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Cost-Effective: Low upfront costs.
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Ease of Integration: Works effortlessly with your EHRs, billing software, or custom tools.
API

ROI

In healthcare, precision isn’t just a goal—it’s a necessity. Accurate coding is the first step to better operations, stronger compliance, and improved patient care.

Why It Matters

Easier Compliance with Standards

Whether it’s ICD-10, ICD-11, or SNOMED CT, staying compliant is easier with a standardized tool. Avoid the fines or delays caused by incorrect or outdated codes.

Reduced Billing Errors

Accurate coding leads to fewer rejected claims, improving your revenue cycle by as much as 30%. This ensures quicker reimbursements and less back-and-forth with payers.

Time Savings That Count

Manual coding takes time. By automating these processes, organizations typically reduce coding time by 40-60%, freeing up staff to focus on patient care instead.
Features

Key Features

Whether you’re a healthcare provider, researcher, or insurer, our Diagnostic Code Mapping Tool helps you achieve greater accuracy, efficiency, and compliance. Get in touch to see how we can help streamline your coding processes and improve patient outcomes.
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Diagnostic Code Mapping

Effortlessly map existing diagnoses to ICD-10/11 or procedures to SNOMED codes using advanced machine learning models.

Diagnostic Code Interpretation

Decode unstructured clinical notes or summaries into standardized ICD or SNOMED codes using Generative AI.

Seamless Integration

Integrate the tool with your Electronic Health Records (EHR) system for real-time updates.
How it works

Workflow

Our diagnostic code mapping tool is designed to ensure accuracy, efficiency, and seamless integration. We work closely with your team to streamline the conversion of medical terms into standardized codes, enhancing interoperability, improving billing accuracy, and ensuring compliance with local and international healthcare regulations.

Uploading Clinical Documents

Users can drag and drop or browse to upload clinical summaries in various formats (PDF, TXT, CSV, etc.)

Automatic Extraction of Diagnoses & Procedures

Prepare and standardize data by cleaning, formatting, and structuring it for analysis.

Code Mapping

Leverage matching algorithms to map extracted entities to diagnostic codes (e.g., ICD-10, CPT) with ranked suggestions and human oversight for validation.

Validation and Quality Assurance

Conduct error checks, implement feedback loops, and ensure compliance with regulatory standards for high-quality diagnostic coding.

Delivering Usable Results

Export structured data in formats like XML, JSON, or CSV and enable interoperability with EHRs, billing systems, and reporting tools.
Latest STORY

Success Stories: Case study

Transforming Insurance Claims Accuracy with Advanced Diagnostic Coding

A multi-site hospital deployed our diagnostic coding tool to unify and automate ICD-10 mapping. The result: faster billing cycles, fewer errors, and smoother EHR integration with both API and on-premise options.

Streamlining Diagnostic Coding for a Multi-Specialty Hospital Network

A hospital network operating multiple locations lacked standardization in diagnosis code assignment, leading to data inconsistencies and billing delays. We rolled out our hybrid diagnostic code mapping platform with a central workflow, enabling uniform code application across sites. Centralized management, confidence scoring, and audit logging helped align coding practices and improve compliance reporting.

Optimizing Revenue Cycles for a Medical Billing Provider

Faced with growing claim volumes and inconsistent diagnosis inputs, a medical billing company partnered with us to improve coding precision. By integrating our code mapping tool into their billing workflow, they minimized coding errors, reduced manual lookup time, and shortened the reimbursement cycle. This led to measurable cost savings and a more reliable revenue stream for their clients.

Simplifying Complex Oncology Coding for a Specialty Clinic

An oncology clinic with high diagnostic variability struggled with ambiguous and incomplete diagnosis notes. We implemented a solution that automatically extracts key terms from clinical notes and provides high-confidence ICD-10 suggestions. The tool helped coders navigate nuanced oncology terminology, improving claim accuracy and reducing the burden on clinical staff.

Latest posts

Blog

Interviews, tips, guides, industry best practices, and news.

From Notes to Codes: A Simple Walkthrough of Diagnostic Code Mapping with Bioteknika

This blog explores Bioteknika’s diagnostic code mapping interface, which uses a hybrid AI approach to suggest ICD-10 codes based on confidence scoring. Includes real input/output examples and a breakdown of both upload-based and manual entry workflows.
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ICD-10, ICD-11, SNOMED CT, and Code Mapping: Everything You Need to Know

ICD-10, ICD-11, and SNOMED CT are essential coding systems in healthcare, each serving different purposes—from billing and public health tracking to detailed clinical documentation. To bridge these systems, diagnostic code mapping translates clinical terms between terminologies like SNOMED and ICD. This ensures accurate data exchange, faster reimbursement, and better decision support. Understanding and implementing proper mapping strategies is key to building interoperable, efficient healthcare systems.
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How to Simplify ICD and SNOMED Interoperability Across Systems

ICD and SNOMED serve different roles in healthcare—one for billing and reporting, the other for clinical documentation and decision support. Bridging these systems is essential for accurate data exchange, consistent coding, and reliable analytics. This blog outlines five key strategies for simplifying interoperability: defining use-case-driven mapping, implementing real-time bidirectional translation, validating mappings with real clinical data, accounting for diagnostic context and hierarchy, and maintaining versioned, regularly updated maps. A thoughtful, tech-enabled mapping approach ensures diagnostic data is understood the same way across systems—supporting better care, compliance, and collaboration.
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