AI may ease patient decision-making in rhinology - Scorecard - MDSpire
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AI may ease patient decision-making in rhinology

  • By

  • Andrea Surnit

  • August 28, 2026

  • 4 min

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Clinical Scorecard: AI may ease patient decision-making in rhinology

At a Glance

CategoryDetail
ConditionChronic rhinosinusitis and nasal obstruction
Key MechanismsUse of AI tools (ChatGPT and Google) to reduce decisional conflict
Target PopulationEnglish-speaking adult patients with medically refractory chronic rhinosinusitis and/or nasal obstruction considering surgery
Care SettingSingle academic rhinology clinic

Key Highlights

  • Decisional Conflict Scale (DCS) scores decreased in both ChatGPT and Google groups.
  • No statistically significant difference in decisional conflict reduction between ChatGPT and Google.
  • Usability scores were similar for both platforms.
  • Patients unsure about treatment had greater decisional conflict than those preferring surgery.
  • Prior counseling may have influenced baseline decisional conflict.

Guideline-Based Recommendations

Diagnosis

  • Patients should receive one-on-one counseling with a rhinologist before using AI tools.

Management

  • AI tools may support shared decision-making but should not replace personalized counseling.

Monitoring & Follow-up

  • Assess changes in decisional conflict and treatment-related knowledge post-intervention.

Risks

  • Informational tools alone may heighten confusion or reinforce ambivalence among uncertain patients.

Patient & Prescribing Data

Patients with medically refractory chronic rhinosinusitis and/or nasal obstruction considering surgery.

Exposure to AI tools may not significantly alter treatment preferences or knowledge.

Clinical Best Practices

  • Identify patients with high baseline uncertainty for more structured guidance.
  • Consider hybrid decision-making approaches combining AI tools and physician counseling.

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