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

In healthcare environments where coding accuracy is vital and time is scarce, even the smallest inefficiencies can ripple downstream. That’s why Bioteknika’s Diagnostic Code Mapping tool exists—not to replace coders, but to empower them.

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Whether you’re uploading a discharge summary or entering a short clinical note, our hybrid AI-assisted tool helps translate unstructured input into ICD-10 code suggestions—with clarity, speed, and contextual awareness.

Here’s how it works, with real-world examples to demonstrate how clinical input becomes code-ready insight.

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How the Interface Works

On the Bioteknika Diagnostic Code Mapping screen, users can choose from two input options:

1. Upload clinical notes or summaries (PDF or TXT, up to 200MB)
   
   • Our AI reads the uploaded document, identifies the likely diagnosis or diagnoses, and automatically populates the manual entry field.
   • The user then clicks Search to generate the ICD-10 code suggestions based on the extracted text.
2. Manually type a diagnosis into a structured text field
   
   • Users can bypass the upload step by directly typing a diagnosis.
   • Clicking Search immediately returns the ICD-10 suggestions based on the input.

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Our system evaluates each case and selects the top ICD-10 match if the confidence score exceeds a threshold that you provide, by default set to 90. 

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Example 1: Typing a Common Clinical Complaint

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Input:🖊️ Diagnosis Field: "Pneumonia with pleural effusion"

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Output:

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💡 These entries reflect a range of relevant terms matched by the model. In production, the top-scoring code above the confidence threshold would be returned.

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Example 2: Manual Entry – Clinical Procedure Description

Input:

🖊️ Diagnosis Field: "Chronic lower back pain"

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Output:

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💡 Users can quickly review the match and finalize the appropriate diagnostic code with minimal back-and-forth.

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The benefits

• No need for manual ICD-10 lookup or keyword-based search
• AI extracts relevant diagnoses from uploaded summaries
• Suggestions are generated using AI with confidence scoring
• In live use, only the top match (above threshold) is shown to simplify workflow
• All inputs and selections are audit-tracked for compliance and traceability

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Designed for Real Healthcare Workflows

• Upload PDFs or text files to extract diagnoses automatically
• Or type directly for quick lookups
• Filters output based on scoring logic
• Built to accelerate coding in high-volume environments
• Secure and auditable by design

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Diagnostic code mapping doesn't have to be slow, manual, or ambiguous. With Bioteknika’s AI-assisted tool, clinical teams can go from free text to focused ICD-10 insights—in just one step.

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It’s not about coding faster. It’s about coding smarter.

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