The Role of Artificial Intelligence in Building Patient Trust in Healthcare Settings
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By
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Sara L Jackson
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August 21, 2026
Clinical Scorecard: The Role of Artificial Intelligence in Building Patient Trust in Healthcare Settings
At a Glance
| Category | Detail |
| Condition | Artificial Intelligence in Healthcare |
| Key Mechanisms | Social Ecological Theory to address patient concerns about AI applications. |
| Target Population | Patients across varied demographics and countries. |
| Care Setting | Healthcare environments utilizing AI technologies. |
Key Highlights
- Trust is essential for implementing AI in healthcare.
- Patient concerns include privacy, data security, and decision-making transparency.
- AI tools have potential to enhance patient experience and care quality.
- Policy should address well-founded misconceptions about AI.
- WHO's guidance emphasizes ethics and governance principles for AI in health.
Guideline-Based Recommendations
Diagnosis
- Obtain patient agreement for AI use prior to clinical visits.
Management
- Implement mandatory physician checkpoints for AI-generated decisions.
Monitoring & Follow-up
- Establish standards for transparency and accountability in AI applications.
Risks
- Address potential deterioration in physician-patient relationships due to AI.
Patient & Prescribing Data
Diverse patient groups concerned about AI applications.
Patients may decline certain AI applications, impacting consent.
Clinical Best Practices
- Ensure informed consent processes are clear and standardized.
- Facilitate collaboration for equitable access to AI tools.
- Maintain transparency in AI decision-making processes.
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