Ailix Omninote

Ailix Prime Ailix Voice Ailix Omninote
OmniNote
Smart Medical
Summaries A real-time medical interpretation service that uses AI
technology specialized for the medical environment to help
doctors and patients communicate naturally in real time,
providing a better medical experience.

MENINBLOX Technology

  • Optical Character Recognition

    Technology that converts characters in images or scanned documents into digital text

    • Its high recognition rate, optimized for hospital submissions, is a strength.
    • It ensures accurate and stable extraction even when document layouts change.
    • Data can be extracted based on specific locations and coordinates within the document.

  • Large Language Model

    Artificial intelligence that learns massive text data to understand and generate human language

    • Fine-tuning based on medical data improves document comprehension and summary accuracy.
    • It enhances understanding of clinical terminology (based on SNOMED CT/ICD).
    • It provides all-in-one processing, from document classification to summarization and extraction.
    • Future enhancements are also possible with custom models based on hospital data.

Process

  • Step01 Document Scan

  • Step02 OCR text extraction

  • Step03 LLM-based summarization/ classification/
    extraction

  • Step04 Generate EMR-readyresults

Scope of implementation

Referral Letter

  • We scan hardcopy referral forms, extract OCR data, and summarize them in LLM format.
  • We standardize the data based on key summaries, diagnoses, test results, and medical history.
  • We provide a summary report screen (UI) and output formats that can be pasted into EMRs.
Example
summary items
  • Diagnosis/Suspected Disease
  • Major Test Results
  • Reason for Referral
  • Underlying Condition/Current Medication
  • Need for Follow-up Testing
Expansion

  • Emergency Department RecordAutomatically extract valid test results and outliers

    • Automatic detection of abnormalities in CBC, Chemistry, and Vitals
    • Can include pattern recognition of abnormal vital signs
    • AI flags critical values for immediate medical attention

  • Progress NoteSummary of S.O.A.P Structure

    • S: Patient's subjective symptoms
    • O: Test results/clinical findings
    • A: Summary of assessment key points
    • P: Structure of plan items
      → Summarize lengthy progress notes so medical staff can
      read them in 10 seconds

  • Inpatient NoteAutomatic extraction of key information

    • Reason for hospitalization
    • Major test/imaging results
    • List of medication changes
    • Any complications
    • Major surgical progress
    • Can be linked to nursing information and treatment plan

  • Discharge SummaryAutomatically generated

    • Admission dx / Final dx
    • Key Tests & Procedures
    • Progress Summary
    • Medication Changes
    • Follow-up Plan