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Automated Detection of HONcode Website Conformity Compared to Manual Detection: An Evaluation.
Célia Boyer1, Ljiljana Dolamic
1Health On the Net Foundation, Chêne-Bourg, Switzerland. Celia.Boyer@HealthOnNet.org.
Journal of Medical Internet Research
|June 4, 2015
Summary
An automated system shows promise in detecting HONcode principles on health websites, aligning with human expert evaluations for key criteria like authority and privacy. Further optimization of system parameters is recommended for improved accuracy.
Area of Science:
- Health Informatics
- Medical Website Evaluation
- Digital Health Standards
Background:
- The Health on the Net (HON) Foundation developed an automated system to assist in HONcode certification.
- Manual HONcode certification is time-consuming; automation can expedite this process and aid in ongoing surveillance.
- Automated tools could identify compliant health websites not yet certified.
Purpose of the Study:
- To evaluate the automated system's capability in identifying HONcode principles compared to human experts.
- To determine if automated detection matches the accuracy of manual assessments by HONcode senior experts.
Main Methods:
- A set of 27 health websites were manually assessed by HONcode senior experts.
- The same websites were processed by a supervised machine learning-based automated system.
- Results from automated detection were compared against expert manual evaluations.
Main Results:
- The automated system demonstrated concordance with human experts for authority, privacy, reference, and contact details.
- High specificity was observed for the privacy criterion (100%), prioritizing accuracy over sensitivity.
- Precision rates were at least 75% for several criteria, including contact details, authority, and reference.
Conclusions:
- Automated and expert manual compliance detection show concordance for key HONcode principles.
- Current general parameters for automated detection yield suboptimal results for some criteria.
- Optimizing system parameters for each HONcode principle and potential search engine integration warrant future investigation.
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