68K+ Single-Episode EHR Records Dataset
Patient Health Records & Digital Health
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£76,900
About
68K+ Single-Episode EHR Records Dataset
Description
The 68K+ Single-Episode EHR Records Dataset is a structured collection of 68K+ single-episode Electronic Health Record (EHR) records of 68K+ anonymized patients designed for healthcare AI, machine learning, clinical research, healthcare analytics, and medical data science. Unlike longitudinal EHR datasets that follow patients across multiple encounters, this dataset focuses on individual healthcare episodes, providing a snapshot of patient information, clinical details, diagnoses, treatments, medications, investigations, and related healthcare events.
The dataset can support the development and evaluation of Healthcare AI, Clinical NLP, EHR Analytics, Predictive Modeling, Clinical Decision Support, and Medical Machine Learning applications.
Note: Pricing varies depending on several factors such as the number of EHR records, data volume, number and type of fields, metadata availability, level of clinical detail, data structure, file format, licensing terms, and customization requirements. The final price will be determined based on the specific dataset requirements and selected package.
Data Product Features
| Feature | Description |
|---|---|
| Patient Information | Patient-level demographic and identification information, where available. |
| Visit Information | Details associated with the specific healthcare encounter or episode. |
| Medical History | Relevant medical history available within the episode record. |
| Surgical History | Previous or recorded surgical information, where available. |
| Diagnosis | Diagnoses or clinical conditions documented during the healthcare episode. |
| Medical Notes | Clinical notes and physician-recorded information associated with the episode. |
| Medications | Medications prescribed or documented during the healthcare encounter. |
| Dosage & Frequency | Medication dosage, administration frequency, and treatment duration, where available. |
| Investigations | Diagnostic tests, laboratory investigations, or examinations associated with the episode. |
| Procedures | Medical or clinical procedures recorded for the healthcare episode. |
| Healthcare Charges | Service or charge information associated with the episode, where available. |
| Temporal Information | Visit dates, years, or other time-related attributes associated with the episode. |
Distribution
- Data Volume: 68K+ Single-Episode EHR Records
- Data Type: Structured Healthcare / Electronic Health Record (EHR) Data
- Format: PDF.
- Structure: Individual patient/encounter records containing clinical, diagnostic, medication, investigation, and temporal information.
- Record Type: Single-episode / encounter-level EHR records.
- Dataset Size: Dataset size may vary depending on the selected dataset package, number of records, fields, metadata, and specific requirements.
Usage
This data product is ideal for a variety of applications:
- Healthcare AI & Machine Learning: Train and evaluate models using structured EHR and clinical information.
- Clinical NLP: Process and analyze medical notes, diagnoses, and other clinical text.
- EHR Analytics: Analyze patterns across individual healthcare episodes and clinical encounters.
- Clinical Decision Support: Develop AI-assisted systems using encounter-level clinical information.
- Predictive Modeling: Build models for patient-level risk assessment and healthcare outcome prediction.
- Clinical Research: Support research involving diagnoses, treatments, medications, and healthcare encounters.
- Healthcare Data Mining: Discover patterns and relationships across structured clinical records.
- Medical Research: Support analysis of clinical conditions, investigations, procedures, and treatment information.
Coverage
- Geographic Coverage: Uganda
- Healthcare Setting: Electronic Health Records / individual healthcare encounters.
- Clinical Scope: Patient information, diagnoses, medical history, medications, investigations, procedures, clinical notes, and healthcare-related information, where available.
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 |
visit_date | DATE | Date associated with the healthcare episode or encounter. | Date |
visit_year | INTEGER | Year associated with the healthcare episode. | YYYY |
age | INTEGER | Patient age at the time of the episode. | Non-negative integer |
gender | STRING | Patient gender associated with the record. | Dataset-specific categorical values |
speciality_name | STRING | Medical specialty associated with the healthcare episode. | Dataset-specific specialty names |
medical_history | STRING | Relevant medical history recorded for the patient. | Free text or structured information |
surgical_history | STRING | Previous or relevant surgical history. | Free text or structured information |
diagnosis | STRING | Diagnosis or clinical condition documented during the episode. | Diagnosis names |
medical_note | STRING | Clinical notes or physician-recorded information. | Free text |
medication | STRING | Medication prescribed or documented during the episode. | Medication names; dataset-specific |
dosage | STRING | Dosage associated with a medication. | Text or numeric representation |
frequency | STRING | Medication administration frequency. | e.g., Once daily, Twice daily; dataset-specific |
duration | STRING | Duration of medication or treatment. | Text or structured duration |
investigation_name | STRING | Diagnostic test, laboratory investigation, or examination associated with the episode. | Dataset-specific |
Considerations
This dataset is provided for research and educational purposes only. It contains only sample data.
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£76,900
Download Dataset in PDF Format
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