Clinical Scorecard: AI-Driven Health Information Seeking Among University-Affiliated Chinese Participants: Information Overload, Health Anxiety, and Conditional Acceptance of AI-Assisted Communication Support

At a Glance

Key Highlights

• The text distinguishes conversational, interactive AI-mediated health information seeking from conventional searching through webpages, search engines, and social media.
• The text describes potential AI uses including patient education, explaining medical content, self-management support, and communication with clinicians.
• Prior research cited in the text associates recurrent online health-related searches with health anxiety, particularly when searching reflects reassurance seeking or intolerance of uncertainty.
• The text identifies excessive, contradictory, or difficult-to-assess advice as a potential information-overload concern in AI-mediated health contexts.
• The text discusses privacy protection, data control, transparency, professional oversight, and limits between AI assistance and clinical decision-making as relevant to acceptance and safety.

Guideline-Based Recommendations

Diagnosis

Management

Monitoring & Follow-up

Risks

• The text cites prior research associating recurrent online health-related searches with health anxiety, particularly when searching reflects reassurance seeking or intolerance of uncertainty.
• The text identifies excessive, contradictory, or difficult-to-assess health advice as a potential source of information overload and anxiety.
• The text discusses privacy, data control, transparency, accountability, human oversight, and boundaries between AI assistance and clinical decision-making as relevant concerns.

Patient & Prescribing Data

The supplied excerpt discusses young adults and university students and cites reports about Chinese college students; it does not provide study participant counts, clinical diagnoses, or prescribing data.

No medication or treatment regimen is described. The text discusses potential consumer AI uses for health information seeking, self-management, and communication.

Clinical Best Practices

• The text discusses privacy protection, user control over data, transparency, accountability, and human oversight as considerations for health AI.
• The text identifies boundaries between AI assistance and clinical decision-making as relevant to acceptance and safety.
• The text describes potential AI-assisted communication uses, including clarifying medical advice and arranging symptoms before consultation.

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