Balancing Timely Access and Human Oversight in Patient-Facing Artificial Intelligence—Waiting for the Human in - Scorecard - MDSpire
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Balancing Rapid Access and Clinician Oversight in Patient-Facing AI: When Do Patients Prefer Human Involvement?

  • By

  • Felix Busch

  • Dennis M. Hedderich

  • October 14, 2026

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Clinical Scorecard: Balancing Rapid Access and Clinician Oversight in Patient-Facing AI: When Do Patients Prefer Human Involvement?

At a Glance

CategoryDetail
ConditionClinical topic addressed by the source article: Balancing Rapid Access and Clinician Oversight in Patient-Facing AI
Key MechanismsParticipants chose between an AI-generated response delivered within 5 minutes and a professionally reviewed and edited response delivered within 48 hours; response time, authorship, and review were not independently varied.
Target PopulationPopulation described in the source article.
Care SettingCare setting described in the source article.

Key Highlights

  • In a 2024 cross-sectional survey of 1185 quota-sampled US adults, 57.4% preferred immediate AI responses for logistical messages and 50.6% for general messages; 63.1% preferred professional review for medical messages.
  • Preferences varied substantially among individuals, so message type alone may be a weak basis for assigning oversight.
  • For mental health support, 63.9% reported likely use of a therapist available in 3 months, 50.2% of a therapist-monitored chatbot available in 1 month, and 44.3% of an immediately available stand-alone chatbot.
  • The survey cannot separate preferences for speed, authorship, and review because these attributes were not independently varied.

Guideline-Based Recommendations

Diagnosis

    Management

      Monitoring & Follow-up

        Risks

          Patient & Prescribing Data

          Quota-sampled survey of 1185 US adults; respondents evaluated three portal-message categories and three mental health support options.

          Likely use was reported by 63.9% for a therapist available in 3 months, 50.2% for a therapist-monitored chatbot available in 1 month, and 44.3% for an immediately available stand-alone chatbot. These were hypothetical likelihood ratings, not observed uptake.

          Clinical Best Practices

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