DR. INFO at the Point of Care: A Prospective Pilot Study of an Agentic AI Clinical Assistant

Abstract

Abstract Background Clinical documentation and information retrieval consume over half of physicians’ working hours, contributing to cognitive overload and burnout. While artificial intelligence offers a potential solution, concerns over hallucinations and source reliability have limited adoption at the point of care. Objective To evaluate clinician-reported time savings, decision-making support, and satisfaction with DR. INFO, an agentic AI clinical assistant, in routine clinical practice. Methods In this prospective, single-arm pilot study, 29 clinicians across multiple specialties in Portuguese healthcare institutions used DR. INFO v1.0 over five working days within a two-week period. Outcomes were assessed via daily Likertscale evaluations and a final Net Promoter Score. Non-parametric methods were used throughout. Results Clinicians reported high perceived time saving (mean 4.27/5; 95% CI: 3.97–4.57) and decision support (4.16/5; 95% CI: 3.86–4.45), with ratings stable across all study days and no evidence of attrition bias. The NPS was 81.2, with no detractors. Conclusions Clinicians across specialties and career stages reported sustained satisfaction with DR. INFO for both time efficiency and clinical decision support. Validation in larger, controlled studies with objective outcome measures is warranted.

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