AI and Patient Trust in Health Care - Scorecard - MDSpire
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The Role of Artificial Intelligence in Building Patient Trust in Healthcare Settings

  • By

  • Sara L Jackson

  • August 21, 2026

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Clinical Scorecard: The Role of Artificial Intelligence in Building Patient Trust in Healthcare Settings

At a Glance

CategoryDetail
ConditionArtificial Intelligence in Healthcare
Key MechanismsSocial Ecological Theory to address patient concerns about AI applications.
Target PopulationPatients across varied demographics and countries.
Care SettingHealthcare 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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