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Updated: Aug 13, 2025

Project-Based Learning Guidelines for Health Sciences Students: An Analysis with Data Mining and Qualitative Techniques
Published on: December 9, 2022
[Web scraping applications in health services research: For web experts only, or a tool for every health services
Christian Kempny1, Patrick Brzoska2
1Hochschule Hamm-Lippstadt, Hamm, Deutschland; Universität Witten/Herdecke, Witten, Deutschland.
Abstract:
Reviewing various care-related data, such as patient satisfaction, can provide valuable information for a health care organization to improve its services. Regular and automatic data collection of internet data can save time and money. This data collection can be performed using web scraping. Web scraping is well-suited for collecting and linking (secondary) data from the internet. In this paper, a low-threshold option for web scraping is illustrated: Web scraping using the commercial software OutWit. This method is also suitable for researchers with no experience in web scraping. Following web scraping, classical statistical methods can be used for quantitative data or qualitative content analysis for qualitative data. Before collecting data using web scraping methods, the legal framework for the individual research project should be clarified. Additionally, ethical considerations should be addressed because the automated extraction of data is not always compatible with the respective data holder's applicable terms of use.
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