Assessing the role of clinical summarization and patient chart review within communications, medical management, and diagnostics

TL;DR

This paper reviews the importance of clinical summarization and patient chart review in healthcare, highlighting recent advances in AI integration that improve communication, diagnostics, and reduce administrative burdens.

Contribution

It provides a comprehensive overview of current challenges and recent AI-driven solutions in clinical summarization and patient chart review.

Findings

AI integration enhances clinical summarization efficiency

Improved communication and diagnostics through better data summarization

Reductions in clinician administrative workload

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.