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Escola de Engenharia (Universidade do Minho)
Fill_Information.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; Fill_Information.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
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6012e6328e39710285e26878d9194a1b
2025-01-17
1.2 KB
Comma Separated Values
# README for Fill_Information Dataset **Dataset Title:** Synthetic Dataset of Emergency Healthcare Services - Fill_Information **Author:** Ferreira, Marco **Date Created:** 2024 **Citation:** Ferreira, M. (2024). Synthetic Dataset of Emergency Healthcare Services - Fill_Information [Data set]. **File Size:** 2 KB --- ### Purpose of the Dataset The "Fill_Information" dataset is part of a comprehensive synthetic data project developed to simulate various processes within emergency healthcare services. This particular dataset models patient flow through the "Fill Information" stage, capturing key timestamps and queue metrics to analyze waiting times and queue dynamics. --- ### Data Summary This dataset records patient movement through the "Fill Information" process, with data on arrival and exit times, waiting duration, and queue metrics before and after processing. Only new patients to the hospital are required to Fill Informations. #### Key Variables - **Patient ID**: Unique identifier for each patient, represented as an integer. - **Patient Type**: Classification of patient urgency or type, with integers representing various patient types. - **Fill Information Arrival Time**: Timestamp marking the patient’s arrival time for filling out information. - **Fill Information Exiting Time**: Timestamp marking the time the patient completed the "Fill Information" stage. - **Waiting Time (min)**: The calculated waiting time, in minutes, between arrival and exit times. - **Queue Count Before Processing**: Number of patients in the queue before this patient’s information was processed. - **Queue Count After Processing**: Number of patients in the queue immediately following the processing of this patient. - **Queue Difference**: Difference in queue counts before and after processing, indicating the net change in queue length. --- ### Usage Notes This dataset is useful for simulation, research, and performance analysis purposes, particularly in studies related to: - Patient wait time management in healthcare settings - Queue length analysis and optimization - Workflow efficiency in information processing stages ### Technical Requirements This dataset is provided in CSV format, compatible with common data analysis tools such as Python (Pandas), R, and spreadsheet software like Microsoft Excel. ### Access Rights and Licensing - **Access Rights**: Open Access This dataset is openly available to the public with no access restrictions. - **License**: Creative Commons Attribution 4.0 International (CC BY 4.0) Under this license, users can share, adapt, and build upon the dataset, provided appropriate credit is given to the original author (Ferreira, M., 2024). For more details, visit: [CC BY 4.0 License](https://creativecommons.org/licenses/by/4.0/). --- ### FAIR Compliance and Metadata This dataset has been created in accordance with the FAIR principles (Findable, Accessible, Interoperable, and Reusable) to ensure ease of access, usability, and integration with other data. - **Findability**: This README file includes clear metadata descriptions and definitions of all variables. - **Accessibility**: Available in a standard CSV format for easy access and compatibility with data analysis tools. - **Interoperability**: Contains universally understood variable names and values, suitable for use with common analytical software. - **Reusability**: Licensed under CC BY 4.0, allowing for reuse, adaptation, and redistribution with appropriate attribution. ### Additional Information This dataset is part of a larger synthetic data project that models emergency healthcare workflows. For questions, comments, or additional datasets in this project, please contact the author. --- ### File Structure and Additional Metadata - **File Name**: `Fill_Information.csv` - **File Size**: 2 KB - **Row Count**: 15 - **Columns**: 8 columns (as described in the Key Variables section above) This dataset is a component of a broader collection designed to simulate various stages of patient processing in healthcare environments. The "Fill Information" dataset specifically offers insights into waiting times and queue behaviors during the information-filling stage. ---
2024-12-14
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