Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
A Novel Workflow for Artificial Intelligence-Enhanced Patient Messaging Services
0
Zitationen
7
Autoren
2026
Jahr
Abstract
Background: Current artificial intelligence (AI) integration in patient messaging often relies on generating AI drafts for clinician review, yet this workflow has achieved limited effect. Objective: This study aimed to describe and evaluate a novel, clinician-first workflow for patient messaging where AI enhances a clinician-generated draft. Methods: Using 268 patient questions from public data, we compared physician-only responses, AI-only responses, and AI-enhanced responses. Results: < 0.01). Safety analysis identified consequential additions in 3.36% and omissions in 1.12% of AI-enhanced messages. Conclusion: A novel workflow-based on the Clinical Action Support framework-where AI enhances a clinician's draft may offer an improved approach to AI implementation in patient messaging services.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.652 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.567 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 8.083 Zit.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
2019 · 6.856 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.781 Zit.