AI may ease patient decision-making in rhinology
ChatGPT and Google similarly reduced decisional conflict among patients considering rhinologic surgery in a randomized pilot study.
By
Andrea Surnit
August 28, 2026
Clinical Scorecard: AI may ease patient decision-making in rhinology
At a Glance
Category Detail
Condition Chronic rhinosinusitis and nasal obstruction
Key Mechanisms Use of AI tools (ChatGPT and Google) to reduce decisional conflict
Target Population English-speaking adult patients with medically refractory chronic rhinosinusitis and/or nasal obstruction considering surgery
Care Setting Single 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.
Related Resources & Content