Enhancing patient value co-creation via AI-enabled cases disclosure: The role of uncertainty reduction, patient empowerment and risk aversion
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View abstract on PubMed
Summary
This summary is machine-generated.AI chatbots sharing similar patient cases online reduce uncertainty and boost patient empowerment, increasing their intention to co-create value in healthcare. This strategy enhances patient engagement and information access.
Area Of Science
- Digital Health
- Artificial Intelligence in Healthcare
- Patient Engagement
Background
- Online healthcare platforms increasingly use AI chatbots for pre-consultation.
- Disclosing similar patient cases by AI aims to reduce information asymmetry and engage patients.
- Patient value co-creation intention is a key outcome in online healthcare interactions.
Purpose Of The Study
- To investigate how AI-enabled similar case disclosure influences patient value co-creation intention on online healthcare platforms.
- To explore the psychological mechanisms underlying this influence, specifically uncertainty reduction and patient empowerment.
- To examine the moderating role of patient risk aversion.
Main Methods
- The study employed social cognitive theory as a theoretical framework.
- Three scenario-based experiments were conducted to test the hypotheses.
- Statistical mediation and moderation analyses were performed.
Main Results
- AI-enabled similar case disclosure significantly increases patient value co-creation intention.
- This effect is sequentially mediated by reduced patient uncertainty and enhanced patient empowerment.
- Patient risk aversion moderates the relationship, influencing the effectiveness of case disclosure.
Conclusions
- Similar case disclosure by AI chatbots is an effective strategy to enhance patient value co-creation intention in online healthcare.
- Understanding patient psychological responses, like uncertainty and empowerment, is crucial.
- Tailoring chatbot strategies based on patient risk aversion can optimize engagement and value co-creation.
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