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Healthcare Appointment Scheduling Analysis Data
Health Information Systems & Technology
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About
Includes vital appointment scheduling information related to clients and healthcare providers, compiled by the Ministry of Health. The primary purpose of this cleaned data product is to enable detailed analysis and visualisation aimed at generating recommendations for decreasing patient waiting times and enhancing overall data integrity within healthcare systems. This file is suitable for detailed review and analysis, having been processed for optimal usability.
Columns
The data structure contains 8 distinct columns. Key variables track essential scheduling metrics and participant identities:
- Requesting date: The date the appointment was requested. Data range from 20 September 2023 to 9 November 2023.
- Appointment date: The date the appointment is scheduled for. Data range from 21 September 2023 to 15 November 2023.
- Client ID: Numerical identifier for the patient (client).
- Provider Role: Specifies the role of the healthcare professional involved (e.g., MD, Nurse, or Other). MDs represent the most frequent role at 59%.
- First Name, Last Name, Full Name: Patient identification details.
- Waiting Time: Calculation reflecting the duration patients wait for their appointments.
Distribution
The raw data file, named
Appointment Scheduling Cleaned Data.csv, is provided in CSV format and has a file size of 8.92 kB. There are 99 valid records included across the majority of the fields. The expected update frequency for this specific file is Never.Usage
Ideal applications include developing analytical models to forecast appointment demand and system efficiency. Specific uses involve:
- Data visualization projects (such as those using Power BI) to illustrate bottlenecks in scheduling.
- Creating predictive recommendations for providers to actively decrease patient waiting periods.
- Auditing and improving data integrity processes within health records.
- Data storytelling related to health service provision.
Coverage
The temporal scope of the appointment requests spans from 20 September 2023 to 9 November 2023, while the appointment dates themselves cover 21 September 2023 through 15 November 2023. Geographic and demographic scope focuses on appointment scheduling information collected by the Ministry of Health, without further location specifics noted in the current data structure. The dataset includes varied professional roles, with 59% being MDs and 29% Nurses.
License
CC0: Public Domain
Who Can Use It
- Healthcare Administrators: For operational planning and resource allocation.
- Data Scientists/Analysts: To build analytical dashboards and predictive scheduling models.
- Public Health Researchers: To study patient flow and efficiency metrics.
- Policy Makers: To inform decisions regarding health service improvements aimed at reducing wait times.
Dataset Name Suggestions
- Healthcare Appointment Scheduling Analysis Data
- Ministry of Health Wait Time Dataset
- Patient Appointment Flow Metrics
- Provider Scheduling Efficiency Data
Attributes
Original Data Source: Healthcare Appointment Scheduling Analysis Data
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