Clinical documentation is a cornerstone of internal medicine, vital for quality care, accurate diagnosis, and legal compliance. However, the growing administrative burden has contributed to clinician burnout and reduced patient interaction. This paper explores the transformative potential of artificial intelligence (AI)-powered documentation tools in internal medicine. Drawing on recent studies, it outlines how AI tools—especially those utilizing natural language processing—can automate clinical note generation, improve documentation accuracy, and enhance physician-patient interactions. The benefits include increased efficiency, reduced clerical workload, and diminished physician burnout. Despite these advantages, challenges persist in terms of AI reliability, privacy concerns, and integration with electronic health records. The paper concludes by recommending strategies for ethical implementation, seamless integration, and clinician training to fully realize AI’s potential in improving clinical documentation workflows.
Released: 17 December 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This article argues that for small states, survival in an era shaped by great power rivalry, war economy dynamics, and artificial intelligence depends on scientific…
Released: 30 November 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
The Khmer Path Beyond AI explores how a mistranslation of “artificial intelligence” in Cambodia opened a deeper conversation about the difference between intelligence and wisdom.…
Released: 31 October 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This essay examines the Khmer ethical system of Gatilok as a culturally grounded framework for AI ethics. Unlike Western approaches that prioritize universal principles, Gatilok…
Released: 10 October 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
The essay explores how Buddhist philosophy can reshape the way we understand and design artificial intelligence. It argues that AI should not be seen as…
Released: 26 September 2025Author: CHHEM Kieth Rethy, MD, PhD (Edu), and PhD (His)
This paper explores the intersection of David Hume’s empiricism and Nāgārjuna’s Madhyamaka philosophy as a framework for rethinking artificial intelligence. Hume’s bundle theory of the…
Released: 14 September 2025Author: SAY Vithya Arthur, MA in Business Innovation (MBI) | ROS Sayumphu, MA in Security, Conflict and International Development, LLM in International Law
Artificial Intelligence (AI) is transforming healthcare, transportation, and communication. This article traces the evolution and categorization of AI, while exploring ethical concerns such as bias…