Developing an automatic accreditation support system of health websites

Area of Science:

• Health Informatics
• Information Science

Background:

• Taiwan has utilized an annual national quality and accreditation label awarding approach since 2002 to identify high-quality health websites.
• This established accreditation process requires significant professional manpower each year.

Purpose of the Study:

• To simplify the health website accreditation process in Taiwan.
• To reduce the reliance on extensive professional manpower for annual quality assessments.

Main Methods:

• Implementing text categorization techniques.
• Utilizing information extraction approaches to analyze website content.
• Developing a streamlined, automated system for quality assessment.

Main Results:

• Demonstrated the feasibility of using text categorization and information extraction for health website quality assessment.
• Proposed a simplified approach to the national accreditation process.
• Potential for significant reduction in manpower requirements.

Conclusions:

• Text categorization and information extraction offer a viable and efficient alternative for identifying quality health websites.
• The proposed methods can significantly streamline the accreditation process, saving valuable professional resources.
• This approach can enhance the scalability and sustainability of national health website quality initiatives.