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All Journal Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal)
Diwa Agus Sudrajat
STIKep PPNI Jawa Barat
Health Professions Medicine & Pharmacology Nursing Physics Public Health

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Development of an AI-Based Clinical Decision Support System for Standardized Nursing Diagnoses in Indonesia Tria Firza Kumala Kumala; Siti Nurbayanti; Ira Mehara Wati; Rita Fitri Yulita; Diwa Agus Sudrajat
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 11 No. 4 (2025): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v11i4.932

Abstract

Background: The implementation of the Indonesian Nursing Diagnosis Standards (IDHS) in clinical practice continues to encounter obstacles, including limited time for assessment, documentation burden, and inconsistency in diagnostic interpretation among nurses. Advancements in artificial intelligence (AI) offer opportunities to design clinical decision support systems that may enhance the accuracy, uniformity, and efficiency of nursing diagnoses. Objective: This study aimed to explore nurses’ experiences, challenges, and expectations regarding the use of IDHS and to assess the initial feasibility of developing an AI-based system to support standardized nursing diagnoses. Methods: A descriptive qualitative design was employed using in-depth interviews with five nurses from diverse clinical settings, including emergency, critical care, inpatient, outpatient, and community services. Thematic analysis was conducted to identify perceptions and needs related to IDHS and AI. Content validity of the preliminary system design was evaluated by three expert validators using the Item-Level Content Validity Index (I-CVI) and the Scale-Level Content Validity Index/Average (S-CVI/Ave). Results: Five major themes emerged: (1) varied experiences in formulating nursing diagnoses, (2) inconsistent use of IDHS in practice, (3) challenges related to documentation and diagnostic interpretation, (4) positive attitudes toward AI integration in clinical workflows, and (5) the need for features such as automated diagnostic suggestions, clarification of clinical criteria, and integration with electronic medical records. Content validity testing demonstrated strong agreement among experts, with I-CVI values ranging from 0.80 to 1.00 and an S-CVI/Ave of 0.92. Conclusion: The study indicates that integrating AI into the IDHS-based diagnostic process holds substantial potential to improve diagnostic quality, standardization, and clinical efficiency. The content validity results support further development and prototype testing in subsequent research phases
The Role of Clinical Instructors in Preventing Adverse Events Among Nursing Students Diwa Agus Sudrajat; Nida Yunia Wardani
Jurnal Keperawatan Komprehensif (Comprehensive Nursing Journal) Vol. 12 No. 2 (2026): JURNAL KEPERAWATAN KOMPREHENSIF (COMPREHENSIVE NURSING JOURNAL)
Publisher : STIKep PPNI Jawa Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33755/jkk.v12i2.972

Abstract

Background: Patient safety is a fundamental aspect of healthcare delivery and a major concern in nursing education, particularly during students’ clinical practice, which carries a high risk of adverse events. Nursing students are in a transitional phase from theoretical learning to real clinical practice and therefore require adequate supervision to prevent clinical errors that may compromise patient safety. Objective: This study explored how clinical instructors perceive and enact their role in preventing adverse events during students’ clinical practice. Methods: A qualitative study with a descriptive phenomenological approach was conducted. Data were collected through in-depth semi-structured interviews with five clinical instructors who supervised nursing students across various hospital care units. The data were analyzed using thematic analysis to identify patterns of meaning related to clinical supervision and patient safety practices. Results: The analysis revealed that clinical instructors operate not only as supervisors but also as safety gatekeepers. Their role extends across several domains, including direct supervision, assessment of student readiness, real-time correction of unsafe practices, and modeling of professional behavior. Adverse events were largely viewed as preventable, but only when supervision was consistent and context-aware. Organizational factors, particularly workload and collaboration, shaped how effectively instructors could perform this role. Conclusion: Clinical instructors occupy a critical position at the intersection of education and patient safety. Strengthening their role requires not only individual competence but also institutional support and realistic workload structures.
Co-Authors Ira Mehara Wati Nida Yunia Wardani Rita Fitri Yulita Siti Nurbayanti Tria Firza Kumala Kumala