# README for Triage Dataset
**Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - Triage
**Author:** Ferreira, Marco
**Date Created:** 2024
**Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - Triage [Data set].
**File Size:** 13 KB
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### Purpose of the Dataset
The "Triage" dataset is part of a comprehensive synthetic data project created to simulate emergency healthcare service workflows.
This dataset specifically models patient triage processes, capturing information on arrival and exit times, waiting times, resources used, and utilization percentages.
It is designed to support research and analysis on resource utilization, patient waiting times, and queue management within emergency triage settings.
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### Data Summary
This dataset includes detailed information about each patient’s experience in a simulated triage process, covering attributes related to patient types, timestamps for arrival and exit, waiting times, and resource allocation.
#### 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 representing different patient categories.
- **Triage Arrival Time**: Timestamp indicating when a patient arrived at the triage station.
- **Triage Exiting Time**: Timestamp indicating when a patient completed the triage process.
- **Waiting Time Triage (min)**: Calculated waiting time in minutes from arrival to exit.
- **Resource Used**: Type of resource used for triage (e.g., "Nurses_Type1").
- **Utilization %**: Percentage of resource utilization during triage.
- **Queue Count Before Processing**: Number of patients in the triage 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**: Change in queue length as each patient is processed.
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### Usage Notes
This dataset can be used for simulation, research, and analysis purposes, especially in areas related to:
- Emergency healthcare service efficiency studies
- Resource utilization and optimization in triage
- Patient flow and queue management
- Analysis of healthcare service logistics
### Technical Requirements
This dataset is provided in CSV format, compatible with common 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/).
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### FAIR Compliance and Metadata
This dataset has been developed to align 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.
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### File Structure and Additional Metadata
- **File Name**: `Triage.csv`
- **File Size**: 13 KB
- **Row Count**: 294
- **Columns**: 10 columns (as described in the Key Variables section above)
This dataset is part of a collection of synthetic datasets generated to simulate various components of emergency healthcare workflows.
Each dataset within the collection represents distinct parts of the healthcare service process, supporting in-depth analysis of healthcare service efficiency and resource management.
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