Switch mode
Horus Encoder

Automatic coding

Horus Encoder is an innovative solution designed for automatic coding of medical reports. Using artificial intelligence and natural language processing (NLP), it automatically assigns ICD-10 labels corresponding to diagnoses, eliminating the need for manual intervention and reducing errors.

Problems to solve

Manual coding of medical records is a tedious, error-prone process that consumes a significant amount of time and resources. This not only slows down administrative and financial management, but also overburdens healthcare professionals with repetitive tasks that could be automated. Horus Encoder addresses this challenge, optimizing workflow and ensuring greater accuracy.

More information

More information

Main features

  • Automatic coding: It accurately assigns the corresponding labels to each medical report, based on its textual content.
  • Natural Language Processing (NLP): Understands and interprets medical language with high accuracy.
  • Error reduction: Minimizes common errors in manual coding thanks to machine learning models trained on clinical data.
  • Integration with healthcare systems: Easily adaptable to existing healthcare management systems.
  • Analysis and reporting: Provides reports on coding patterns and most frequent diagnoses to improve decision making.
  • Continuous learning: Constantly improve its accuracy through updates based on new data and clinical cases.
  • No items found.

    More projects

    AI4TeenDep

    Detection of depression in adolescents

    Read more

    Urban Physio

    Personalized physiotherapy

    Read more

    Horus Predictor

    Predictions of various clinical indicators

    Read more