60K+ OPD Prescription Dataset (CSV)
Patient Health Records & Digital Health
Tags and Keywords
£180,500
About
60K+ OPD Prescription Dataset (CSV)
Description
The 60K+ OPD Prescription Dataset is a structured healthcare dataset containing 60K+ outpatient department (OPD) prescription records in CSV format. It is designed for artificial intelligence (AI), machine learning, natural language processing (NLP), healthcare analytics, clinical research, and medical data analysis.
The dataset provides prescription-related information that can support analysis of medications, diagnoses, treatment patterns, prescription trends, and outpatient healthcare workflows. Its structured CSV format makes the data suitable for data analysis, statistical research, machine learning pipelines, and healthcare AI applications.
Designed for data scientists, AI developers and healthcare organizations, this dataset can support prescription analytics, clinical NLP, medication-related research, healthcare data mining, and development of domain-specific healthcare models.
Note: Pricing varies depending on several factors, including the number of prescription records, data volume, metadata availability, data fields, level of detail, file format, licensing terms, and customization needs. The final price will be determined based on the specific dataset requirements.
Data Product Features
| Feature | Description |
|---|---|
| OPD Prescription Records | Individual outpatient department prescription records associated with patient visits. |
| Patient Information | Available patient-related information associated with the OPD record. |
| Medical History | Previous or existing medical conditions and relevant patient medical history, where available. |
| Speciality Name | Medical specialty or department associated with the patient's OPD visit. |
| Visit Year | Year in which the OPD consultation or visit occurred. |
| Surgical History | Previous surgical procedures or relevant surgical history associated with the patient, where available. |
| Medical Note | Clinical notes or observations recorded by the healthcare provider during the visit. |
| Diagnosis | Diagnosis or clinical condition associated with the OPD consultation. |
| Medication | Medicine or medicines prescribed during the consultation. |
| Dosage | Prescribed dosage information, where available. |
| Frequency | Frequency or schedule of medication administration. |
| Treatment Duration | Prescribed duration of medication or treatment. |
| Investigation Name | Name of the diagnostic test or medical investigation ordered or recorded during the visit. |
| Charge Name | Name or description of the healthcare service or charge associated with the visit. |
| Charge Rate | Standard or listed rate associated with the healthcare service or charge. |
| Charge Amount | Amount charged for the associated healthcare service. |
| Charge Discount | Discount applied to the associated healthcare charge, where applicable. |
Distribution
The dataset is distributed in CSV format, providing structured and machine-readable OPD prescription records.
- Data Volume: 60K+ OPD Prescription Records
- File Format: CSV
- Data Type: Healthcare / Clinical Prescription Data
- Dataset Size: Dataset size may vary depending on the selected dataset package, available fields, metadata, and specific dataset requirements.
Usage
This data product is ideal for a variety of applications:
- Healthcare AI: Develop and evaluate AI models for prescription and clinical data analysis.
- Clinical NLP: Analyze prescription-related text and clinical information for natural language processing applications.
- Prescription Analytics: Identify patterns and trends in outpatient prescriptions and treatment practices.
- Medication Research: Analyze prescribed medicines, dosage, frequency, and treatment duration.
- Healthcare Analytics: Generate insights from structured outpatient prescription records.
- Machine Learning: Train, fine-tune, and evaluate machine learning models for healthcare applications.
- Clinical Research: Support research involving outpatient treatment, diagnoses, and medication patterns.
- Medical Data Mining: Extract patterns and relationships from structured healthcare records.
Coverage
- Geographic Coverage: India.
- Healthcare Setting: Outpatient Department (OPD).
- Data Domain: Clinical prescriptions, medications, diagnoses, and related healthcare information.
License
CC BY 4.0 (Creative Commons Attribution 4.0 International)
AI Training Rights
InfoBay.AI ensures that all datasets are sourced, curated, and managed with proper ownership verification, licensing documentation, and data provenance records. We hold the necessary rights to license and sublicense the datasets we provide through formal agreements with our data vendors, which grant us the required permissions for commercial licensing and AI training use cases. To ensure transparency and compliance, we maintain relevant documentation and have previously shared redacted agreements for selected datasets as evidence of our data rights and licensing authority.
Data Dictionary
| Column Name | Data Type | Description | Possible Values/Notes |
|---|---|---|---|
patient_id | STRING | Identifier associated with the patient. | Anonymized |
prescription_date | DATE | Date of the OPD prescription or consultation. | Date value |
visit_year | INTEGER | Year in which the OPD visit occurred. | Four-digit year |
age | INTEGER | Patient age associated with the visit. | Age in years |
gender | STRING | Patient gender, where available. | Dataset-specific values |
speciality_name | STRING | Medical specialty or department associated with the OPD visit. | e.g., Gastroenterology, Orthopedics, Dermatology |
medical_history | STRING | Previous or existing medical conditions and relevant medical history. | Dataset-specific clinical information |
surgical_history | STRING | Previous surgical procedures or relevant surgical history. | Dataset-specific |
diagnosis | STRING | Diagnosis or clinical condition associated with the visit. | Dataset-specific |
medical_note | STRING | Clinical notes, observations, or comments recorded during the consultation. | Free-text clinical information |
medication | STRING | Medicine or medicines prescribed during the visit. | Drug/medicine name |
dosage | STRING | Prescribed dosage of the medication. | Dataset-specific |
frequency | STRING | Frequency or schedule of medication administration. | Dataset-specific |
duration | STRING | Prescribed treatment or medication duration. | Dataset-specific |
investigation_name | STRING | Name of the diagnostic test or medical investigation. | e.g., Blood Test, X-ray, MRI, CT |
charge_name | STRING | Name or description of the healthcare service or charge. | Dataset-specific |
charge_rate | DECIMAL / FLOAT | Standard or listed rate associated with the healthcare service. | Monetary value |
charge_amount | DECIMAL / FLOAT | Amount charged for the healthcare service. | Monetary value |
charge_discount | DECIMAL / FLOAT | Discount applied to the associated charge. | Monetary value |
instructions | STRING | Additional medication or treatment instructions. | Where available |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£180,500
Download Dataset in CSV Format
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