How to enhance E-E-A-T signals for health-related content through structured data (Schema Markup)?

When health-related content needs to enhance E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals, structured data (Schema Markup) can help search engines accurately identify content quality by clearly labeling core content attributes and source information. **Core Implementation Directions**: - Author Qualification Labeling: Use the `Person` or `MedicalPerson` Schema, supplementing fields such as `name`, `jobTitle` (e.g., "Licensed Physician"), `affiliation`, and `education` to directly convey professionalism and authoritativeness. - Content Attribute Structuring: Apply the `Article` or `HealthTopic` Schema to health articles, adding `datePublished`, `dateModified`, and `description` to reflect content timeliness and clarity. - Citation and Evidence Linking: Mark the sources of references (such as authoritative medical journals and government health agencies) through the `Citation` Schema to enhance content trustworthiness. It is recommended to prioritize marking author qualifications and content sources. Schema validation tools (e.g., Google's Rich Results Test) can be used to ensure code correctness. Regularly updating structured data to match content changes can continuously strengthen search engines' recognition of E-E-A-T signals in health content.