Smart Hospital Performance & Patient Analytics Dataset
A comprehensive healthcare analytics dataset containing hospital performance metrics, patient appointment records, billing information, operational efficiency indicators, and patient satisfaction data across multiple hospitals in India.
Dataset Metrics
Data Format
Dataset Schema (18 features)
| Name | Type | Nullable | Description |
|---|---|---|---|
| Test_Cost | float | No | |
| Patient_ID | string | No | |
| Age | integer | No | |
| Gender | categorical | No | |
| City | string | No | |
| BMI | float | No | |
| Department | categorical | No | |
| Symptoms | string | No | |
| Severity_Level | categorical | No | |
| Doctor_Experience | integer | No | |
| Consultation_Fee | float | No | |
| Insurance_Status | categorical | No | |
| Waiting_Time | integer | No | |
| Hospital_Rating | float | No | |
| Medicine_Cost | float | No | |
| Total_Bill | float | No | |
| Appointment_Status | categorical | No | |
| Satisfaction_Score | integer | No |
License & Compliance
About This Dataset
This dataset contains structured hospital and patient analytics data designed for healthcare research, operational analysis, predictive modeling, and machine learning applications. The dataset includes 10,000 patient-level records with attributes related to: Patient demographics, Appointment scheduling, Hospital departments, Doctor experience, Billing and insurance, Waiting times, Chronic diseases, Patient satisfaction, Appointment outcomes. It helps analyze hospital efficiency, patient behavior, treatment costs, and healthcare service quality. Patient ID, Age, Gender, City, BMI, Department, Symptoms, Severity Level, Doctor Experience, Consultation Fee, Insurance Status, Waiting Time, Hospital Rating, Satisfaction Score, Medicine Cost, Test Cost, Total Bill, Appointment Status. The dataset is cleaned and formatted for analytics workflows, dashboards, and machine learning pipelines.
Data Quality
The dataset has been cleaned and validated for consistency and usability. Structured tabular format Minimal missing values Standardized categorical labels Numerical columns validated for realistic healthcare ranges Duplicate and inconsistent records removed Suitable for data visualization, EDA, and predictive analytics
Use Cases
Hospital performance analysis Patient satisfaction prediction Appointment no-show prediction Healthcare operational analytics Medical cost analysis Machine learning model training Healthcare dashboard development Academic and research projects
Limitations
Dataset is synthetic and does not represent real patient records Geographic coverage is limited to selected Indian cities Certain healthcare behaviors may be simplified for analytical purposes Not intended for clinical diagnosis or medical decision-making
Methodology
The dataset was generated using simulated healthcare operational scenarios and cleaned through preprocessing techniques including: Missing value handling Feature standardization Duplicate removal Data validation Consistency checks Numerical range normalization The final dataset was exported in Excel format for easy integration with analytics and ML tools.
Geographic Coverage
Source Information
Governance & Review
Usage & Restrictions
License: CC BY 4.0 — This dataset is licensed for use by the purchasing entity. Refer to the specific license terms for permitted use.
Access Control: Download links are time-limited and single-use. All access is logged for audit purposes.