AUTHOR=Lee Chanseo , Vogt Kimon A. , Kumar Sonu 

TITLE=Prospects for AI clinical summarization to reduce the burden of patient chart review

JOURNAL=Frontiers in Digital Health

VOLUME=Volume 6 - 2024

YEAR=2024

URL=https://www.frontiersin.org/journals/digital-health/articles/10.3389/fdgth.2024.1475092

DOI=10.3389/fdgth.2024.1475092

ISSN=2673-253X

ABSTRACT=Effective summarization of unstructured patient data in electronic health records (EHRs) is crucial for accurate diagnosis and efficient patient care, yet clinicians often struggle with information overload and time constraints. This review dives into recent literature and case studies on both the significant impacts and outstanding issues of patient chart review on communications, diagnostics, and management. It also discusses recent efforts to integrate artificial intelligence (AI) into clinical summarization tasks, and its transformative impact on the clinician’s potential, including but not limited to reductions of administrative burden and improved patient-centered care. Furthermore, it takes into account the numerous ethical challenges associated with integrating AI into clinical workflow, including biases, data privacy, and cybersecurity.