Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Reimagining clinical AI: from clickstreams to clinical insights with EHR use metadata
1
Zitationen
5
Autoren
2025
Jahr
Abstract
Most clinical AI solutions center on patient data-particularly those from electronic health records (EHR)-while overlooking the clinician activities that shape care and signal patient outcomes. EHR use metadata, which capture fine-grained clinician-EHR interactions, represent a powerful yet underutilized resource that complements patient data. This perspective highlights the opportunity of integrating EHR use metadata with patient data to advance the development, evaluation, and real-world impact of clinical AI.
Ähnliche Arbeiten
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
2019 · 8.214 Zit.
Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead
2019 · 8.071 Zit.
High-performance medicine: the convergence of human and artificial intelligence
2018 · 7.429 Zit.
Proceedings of the 19th International Joint Conference on Artificial Intelligence
2005 · 5.776 Zit.
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
2018 · 5.418 Zit.