InfoBayAI/IVF-Clinical-Discharge-Summaries-Dataset

Dataset Description:

This dataset is a large-scale collection of IVF (In Vitro Fertilization) clinical discharge summaries, containing data from 506,356 patients, designed to support the development and training of advanced healthcare AI, clinical NLP, medical analytics, and diagnostic AI systems.

Additionally, this dataset can be used in pipelines for Supervised Fine-Tuning (SFT) workflows, enabling models to better understand IVF treatment summaries and improve performance in downstream clinical decision-making tasks.

Dataset Specification

-Patients: 506,356
-Modality: IVF clinical discharge summaries
-Type: Clinical 
-Data Source: Fertility clinics and hospitals
-Data Nature: Real-world clinical data
-Content: Discharge summaries including treatment details and outcomes

Key Use Cases

-Named entity recognition (NER) in IVF discharge summaries
-Treatment outcome classification (successful vs unsuccessful cycles)
-Automated discharge summary generation
-Clinical decision support systems
-Model validation and calibration

Value of This Dataset

-Enables learning of real-world IVF clinical documentation patterns
-Improves NLP model accuracy in reproductive health domain
-Supports classification and information extraction tasks
-Helps analyze treatment outcomes and patient responses
-Enhances reliability of clinical AI systems

Basic JSON Schema

{
  "patient_id": "string",
  "gender": "string",
  "age": "string",
  "admission_date": "string",
  "operation_date": "string",
  "discharge_date": "string",
  "anaesthesia": "string",
  "diagnosis": "string",
  "procedure": "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