Research Article

Real-Time Co-authoring in Medicine: A Paradigm Shift for Enhanced Efficiency, Inclusivity, and Quality of Care

Authors

  • Ujjwal Raj Independent Researcher, USA

Abstract

Real-time co-authoring technologies represent a transformative paradigm shift in medical documentation practices, offering solutions to longstanding challenges in healthcare knowledge creation and dissemination. This article examines how collaborative documentation platforms enhance efficiency by reducing administrative burden, accelerating publication timelines, and streamlining clinical workflows across diverse healthcare settings. It explores how these technologies foster inclusivity by facilitating interdisciplinary collaboration, enabling patient participation, bridging geographical barriers in global research, and democratizing knowledge creation in medical education. The article further demonstrates how co-authoring platforms improve quality through enhanced accuracy, consistency, and decision-making while enabling error mitigation through simultaneous review processes. Implementation considerations, including technical infrastructure requirements, privacy and security safeguards, and emerging AI-augmented solutions, are discussed alongside recommendations for sustainable adoption. Through current evidence, this article positions real-time co-authoring as an essential strategy for optimizing healthcare delivery in the digital age, with demonstrable benefits for healthcare professionals, patients, researchers, and educators alike.

Article information

Journal

Journal of Computer Science and Technology Studies

Volume (Issue)

7 (12)

Pages

90-97

Published

2025-11-25

How to Cite

Ujjwal Raj. (2025). Real-Time Co-authoring in Medicine: A Paradigm Shift for Enhanced Efficiency, Inclusivity, and Quality of Care. Journal of Computer Science and Technology Studies, 7(12), 90-97. https://doi.org/10.32996/jcsts.2025.7.12.14

Keywords:

Collaborative documentation, Real-time co-authoring, Healthcare efficiency, Interdisciplinary collaboration, Artificial intelligence in healthcare