InfoBayAI/Dermatology-Prescriptions-Dataset

Dataset Description:

This dataset is a large-scale collection of dermatology prescriptions, containing data from 339,517 patients, designed to support the development and training of advanced healthcare AI, clinical NLP, medical analytics, and diagnostic AI systems.

The dataset captures authentic variations in prescription styles, medication terminology, dosage instructions, and clinical language used by dermatologists, along with both structured and unstructured textual narratives. This makes it highly valuable for building accurate and scalable clinical NLP systems. Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows, enabling models to better understand standard prescription patterns and reduce errors in downstream clinical decision systems.

Dataset Specification

-Patients: 339,517
-Modality: Dermatology prescriptions
-Type: Prescriptions (routine / standard cases)
-Data Source: Dermatology clinics and hospitals
-Data Nature: Real-world clinical data

Key Use Cases

-Automated prescription generation
-Drug and dosage extraction
-Model validation and calibration
-Error and anomaly detection in prescriptions

Value of This Dataset

-Enables learning of real-world prescription patterns
-Improves NLP model accuracy in drug and dosage extraction
-Supports clinical text classification and information extraction
-Helps detect anomalies and prescription errors
-Assists in building clinically safe and reliable AI systems
-Supports real-world dermatology and healthcare AI applications

Basic JSON Schema

{
  "patient_id": "string",
  "age": "string",
  "sex": "string",
  "diagnosis": "string",
  "advice": "string",
  "medications": "string",
  "full_text": "string"
}

Data Creation

Procured through formal agreements and generated in the ordinary course of business.

Considerations

This dataset is provided for research and educational purposes only. It contains only sample data. For access to the full dataset and enterprise licensing options, please visit our website InfoBay.AI or contact us directly.

-Ph: (91) 8303174762
-Email: datareq@infobay.ai