IIAI Letters on Institutional Research https://iaiai.org/letters/index.php/lir <div><span lang="EN-US">The IIAI Letters on Institutional Research (LIR) publishes new developments and advances on the theory and applications in the Institutional Research as open conference publication series. LIR contributes to the publication of Institutional Research's latest research findings that contribute to the organizational optimization of data science-based educational and research institutions. Articles published in LIR include articles on organizational management theory, educational organization theory, management strategy theory, marketing strategy theory, and research institution analysis. The LIR also includes the fields of organizational management, educational organization, management strategy, marketing strategy, and research institute analysis.</span></div> <div> </div> <div><span lang="EN-US">ISSN: 2185-9922 (electronic), Established on 2022, Open Access</span></div> <div> </div> en-US iiai-jm@iaiai.org (Tokuro Matsuo) iiai-jm@iaiai.org (Shinnosuke Saito) Sat, 22 Feb 2025 00:00:00 +0000 OJS 3.3.0.11 http://blogs.law.harvard.edu/tech/rss 60 Clinical Reasoning and Decision Making through Knowledge Networks and Abduction https://iaiai.org/letters/index.php/lir/article/view/353 <p>This study examines the integration of clinical decision making processes with knowledge networks and abductive reasoning in nursing practice, proposing a sustainable framework based on eduinformatics. While clinical reasoning traditionally relies on deductive and inductive approaches, the complexity of modern healthcare demands more sophisticated decision-making methodologies. Through analysis of clinical cases and reasoning patterns, we demonstrate how abductive reasoning complements traditional approaches, particularly in situations where complete information is unavailable. The knowledge network theory provides a structured framework for understanding how clinical knowledge is created, shared, and applied. By integrating these elements through eduinformatics, we develop a comprehensive approach that enhances clinical reasoning capabilities in nursing education and practice. This framework offers a systematic way to improve clinical decision-making while maintaining sustainability in increasingly complex healthcare environments.</p> Yasuo Nakata, Kenya Bannaka, Kunihiko Takamatsu Copyright (c) 2025 IIAI Letters on Institutional Research https://iaiai.org/letters/index.php/lir/article/view/353 Sat, 22 Feb 2025 00:00:00 +0000