Skip to main content
Escola de Engenharia (Universidade do Minho)
CheckPatientType.csv
Version 1.0
File Citation
Ferreira, Marco; Antóno Vieira, 2025, "Synthetic Dataset of Emergency Healthcare Services", https://doi.org/10.34622/datarepositorium/AKSZQG, Repositório de Dados da Universidade do Minho, V1; CheckPatientType.csv [fileName]

This file is part of "Synthetic Dataset of Emergency Healthcare Services".

Dataset Citation
Ferreira, Marco; Antóno Vieira, 2025, "Synthetic Dataset of Emergency Healthcare Services", https://doi.org/10.34622/datarepositorium/AKSZQG, Repositório de Dados da Universidade do Minho, V1
File Metrics
3 Downloads
File Metadata  
a29effbfdd439b10584479c78fb8b29b
2025-01-17
18.8 KB
Comma Separated Values
# README for CheckPatientType Dataset **Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - CheckPatientType **Author:** Ferreira, Marco. **Date Created:** 2024 **Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - CheckPatientType [Data set]. **File Size:** 19 KB --- ### Purpose of the Dataset The "CheckPatientType" dataset is part of a broader synthetic data project designed to simulate emergency healthcare service workflows. This dataset specifically models patient flow through a queue system, capturing important timestamps, patient types, and queue dynamics before and after processing. It is intended to support research and analysis on queue management, patient waiting times, and overall system efficiency in emergency healthcare contexts. --- ### Data Summary This dataset includes detailed information about each patient's journey through a simulated queue, capturing 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 types of patients. - **Queue Ticket Machine Arrival Time**: Timestamp indicating when a patient received their queue ticket upon arrival. - **Exiting Time**: Timestamp indicating when a patient was assigned a patient type. - **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, indicating queue length changes as each patient is processed. --- ### Usage Notes This dataset can be used for simulation, research, and development purposes, particularly in areas related to: - Healthcare service efficiency studies - Queue management and optimization - Patient flow analysis - Simulation of emergency service logistics ### Technical Requirements This dataset is provided as a CSV file, 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 The dataset is freely available to the public, with no 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 to align with the FAIR principles (Findable, Accessible, Interoperable, and Reusable), facilitating ease of access, usage, and integration into various analytical workflows. - **Findability**: The dataset is accompanied by this README file, providing clear metadata descriptions and variable explanations. - **Accessibility**: It is openly available and accessible in standard CSV format. - **Interoperability**: Designed to be used in common data analysis tools, with universally understood variables and values. - **Reusability**: Licensed under CC BY 4.0, supporting 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**: `CheckPatientType.csv` - **File Size**: 19 KB - **Row Count**: 298 - **Columns**: 8 columns (as described in the Key Variables section above) This dataset is part of a larger set of synthetic datasets generated for emergency healthcare simulations. Each individual dataset within the collection has been designed to represent different components of the healthcare service workflow. ---
2024-12-14
Share Dataset

Share this dataset on your favorite social media networks.

Delete Files

The file will be deleted after you click on the Delete button.

Files will not be removed from previously published versions of the dataset.

Dataset Terms

Please confirm and/or complete the information needed below in order to continue.

No restrictions. The dataset is freely accessible to all users.
Package File Download

Use the Download URL in a Wget command or a download manager to download this package file. Download via web browser is not recommended. User Guide - Downloading a Dataverse Package via URL

https://datarepositorium.uminho.pt/api/access/datafile/

Request Access

Please confirm and/or complete the information needed below in order to request access to files in this dataset.

No restrictions. The dataset is freely accessible to all users.
Provenance

Provenance is a record of the origin of your data file and any transformations it has been through. Upload a JSON file from a provenance capture tool to generate a graph of your data's provenance. For more information, please refer to our User Guide.

File must be JSON format and follow the W3C standard.

Select File

You may also add information documenting the history of your data file, including how it was created, how it has changed, and who has worked with it.

Provenance
No changes have been made.
Request Access

  You need to Sign Up or Log In to request access to this file.

File Restrictions

Limit access to published files by marking them as restricted. Provide users Terms of Access and allow them to request access.

Enable access request
Edit File

You can not replace a file that has been replaced in a dataset draft. In order to replace it with a different file you must delete the dataset draft. Note that doing so will discard any other changes within this draft.

Edit File

This file has already been deleted in current version. It may not be edited.

Compute

This file is restricted and you may not compute on it because you have not been granted access.

Contact Repositório de Dados da Universidade do Minho Support

Repositório de Dados da Universidade do Minho Support

Please fill this out to prove you are not a robot.

+ =