News: Announcing our highest-performing ICD-10 Classification Model

Introduction

We are excited to announce the new ICD-10 Classification Model, our advanced, highest-performing ICD-10 Classification Model designed to revolutionize the way medical professionals code and interpret clinical text. This cutting-edge model leverages the latest in machine learning and natural language processing to seamlessly convert unstructured medical text into standardized ICD-10 codes, ensuring accuracy, efficiency, and compliance across all healthcare documentation processes. Whether used in clinical settings, billing, or research, our ICD-10 Classification Model is set to enhance the precision and speed of medical coding, streamlining operational workflows.

ICD-10 Classification Overview

The ICD-10 (International Classification of Diseases, 10th Revision) is a medical classification system developed by the World Health Organization (WHO). It is used worldwide to code and categorize diseases, health conditions, and related health problems. The system consists of a standardized alphanumeric code for each diagnosis, facilitating the storage, retrieval, and analysis of health information. It aids in epidemiology, health management, and clinical decision-making. The ICD-10 system is widely used for health insurance billing, medical research, and public health reporting.

For Business & Product Managers: ICD-10 Classification Model

Business and product teams can leverage the ICD-10 Classification Model to enhance their healthcare products and services. By integrating our model into your applications, you can automate the medical coding process, reduce errors, and improve the efficiency of your healthcare operations. Our model is designed to handle a wide range of medical text, from clinical notes and patient histories to radiology reports and discharge summaries. It can accurately classify medical text with ICD-10 codes, enabling you to streamline your coding workflows and improve the quality of your healthcare documentation.

To get started with the ICD-10 Classification Model, sign in and start classifying medical text with ease via the user interface. You can also run a batch classification job to process large volumes of medical text by simply uploading a CSV or Excel file containing the text to be classified.

For Developers: ICD-10 Classification Model API

Classifying medical text is as simple as hitting a model endpoint. You can use the Taylor API to classify medical text with ICD-10 codes in real-time. Here's an example of how you can use the model to classify a medical text:

import requests
api_key = "xx-your-api-key-here"
 
res = requests.post(
    "https://api.trytaylor.ai/api/public_classifiers/predict",
    headers={"Authorization": f"Bearer {api_key}"},
    json={
        "model": "icd_10",
        "texts": [
                "Chief Complaint: Sore throat, difficulty swallowing, and mild fever for the past 3 days. History of Present Illness: The patient reports the onset of a sore throat 3 days ago, which has progressively worsened. He describes the pain as a constant, burning sensation, particularly severe when swallowing. There is associated hoarseness of voice, and he has noticed swollen, tender lymph nodes in the neck. The patient also reports a mild fever, peaking at 100.4°F, accompanied by general fatigue and body aches. He denies any cough, rhinorrhea, or recent upper respiratory infections. No history of allergies or similar episodes in the past. Past Medical History: No significant past medical history. No known allergies. Medications: Over-the-counter acetaminophen for fever and pain relief. Physical Examination: Vital Signs: BP 120/80 mmHg, HR 78 bpm, Temp 100.2°F, RR 16 breaths/min, SpO2 98% on room air. Head and Neck: Erythematous and swollen pharynx with visible exudates on the tonsils. Tender anterior cervical lymphadenopathy. No signs of respiratory distress. Oral Examination: No oral lesions; good dentition. Lungs: Clear to auscultation bilaterally.",
        ],
        "threshold": 0.5,
        "top_k": 3
    }
)
 
print(res.json())

Using this code, you can get ICD-10 codes. Your specified threshold and top_k values will determine the number of codes returned. For example, if you wish to only get the top code, you can set top_k to 1.

Integrations & Deployment

Try the ICD-10 Classification Model today. Sign in here to start classifying for free on your first 1,000 texts.

The ICD-10 Classification Model can be seamlessly integrated with your existing systems and applications. Whether you are a healthcare provider, medical coder, or software developer, you can leverage the power of our model to streamline your medical coding processes. Our API is designed for easy integration, allowing you to classify medical text with ICD-10 codes in real-time.

For on-premises deployment, we offer flexible licensing options to meet your organization's needs. Contact us to learn more about deployment options and licensing terms.