# README for CheckBloodPressure Dataset
**Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - CheckBloodPressure
**Author:** Ferreira, Marco
**Date Created:** 2024
**Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - CheckBloodPressure [Data set].
**File Size:** 9 KB
---
### Purpose of the Dataset
The "CheckBloodPressure" dataset is part of a broader synthetic data project designed to simulate workflows within emergency healthcare services.
This specific dataset models the flow of patients undergoing blood pressure checks, capturing timestamps, patient types, and queue dynamics before and after processing.
It supports research and analysis focused on queue management, patient waiting times, and overall efficiency in healthcare services related to blood pressure checks.
---
### Data Summary
This dataset includes detailed information about each patient’s journey through a simulated queue for blood pressure checks, covering attributes related to patient types, arrival and exit times, waiting times, and queue positions.
#### Key Variables
- **Patient ID**: Unique identifier for each patient in the dataset, represented as an integer.
- **Patient Type**: Category indicating the urgency or type of patient. Possible values are integers that represent different patient categories.
- **Check Blood Pressure Arrival Time**: Timestamp indicating when a patient arrived for a blood pressure check.
- **Exiting Time**: Timestamp indicating when a patient completed the blood pressure check.
- **Waiting Time (min)**: Calculated waiting time in minutes between arrival and exit times.
- **Queue Count Before Processing**: Number of patients in the queue just before this patient’s data was recorded.
- **Queue Count After Processing**: Number of patients remaining in the queue immediately after processing the current patient.
- **Queue Difference**: Difference between queue counts before and after processing, showing changes in queue length as each patient is processed.
---
### Usage Notes
This dataset can be used for simulation, research, and development purposes, especially in areas related to:
- Healthcare service efficiency studies
- Queue management and optimization
- Patient flow analysis in emergency settings
- Simulation of healthcare service logistics
### Technical Requirements
This dataset is provided in CSV format, which is compatible with standard data analysis software and programming languages, such as Python (Pandas), R, and Microsoft Excel.
### Access Rights and Licensing
- **Access Rights**: Open Access
This dataset is freely accessible to the public without any restrictions on access.
- **License**: Creative Commons Attribution 4.0 International (CC BY 4.0)
Under this license, users are permitted to share, adapt, and build upon the dataset, provided appropriate attribution is given to the original author (Ferreira, M., 2024). For more details on the license, visit: [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/).
---
### FAIR Compliance and Metadata
This dataset has been developed in alignment with the FAIR principles (Findable, Accessible, Interoperable, and Reusable), ensuring ease of access, usability, and integration into various analytical workflows.
- **Findability**: The dataset is accompanied by this README file, providing clear metadata descriptions and variable explanations.
- **Accessibility**: The dataset is openly available and accessible in standard CSV format.
- **Interoperability**: Compatible with common data analysis tools, with universally understood variables and values.
- **Reusability**: Licensed under CC BY 4.0, allowing for reuse, adaptation, and redistribution with appropriate credit.
### Additional Information
This dataset forms part of a larger synthetic dataset project on emergency healthcare services.
For questions, comments, or requests for related datasets, please contact the author.
---
### File Structure and Additional Metadata
- **File Name**: `CheckBloodPressure.csv`
- **File Size**: 9 KB
- **Row Count**: 113
- **Columns**: 8 columns (as described in the Key Variables section above)
This dataset is part of a collection of synthetic datasets created to simulate various aspects of emergency healthcare workflows.
Each dataset within the collection represents distinct components of the healthcare service process, aiding comprehensive analysis in healthcare service simulations.
---