Siti Nurbayanti
Universitas Jenderal Achmad Yani

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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
Hubungan Derajat Dan Klasifikasi Diastasis Rectus Abdominis Dengan Aktivitas Sehari-Hari Ibu Post Partum Dan Faktor-Faktor Yang Mempengaruhinya Monika Anggelia Tumbol; Hemi Fitriani; Siti Nurbayanti; Murtiningsih Murtiningsih
Jurnal Ners Vol. 10 No. 4 (2026): OKTOBER 2026
Publisher : Universitas Pahlawan Tuanku Tambusai

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31004/jn.v10i4.62984

Abstract

Diastasis Rectus Abdominis (DRA) merupakan kondisi yang dapat ditemukan pada ibu postpartum dan berpotensi berkaitan dengan keterbatasan kemampuan fungsional sehari-hari akibat nyeri punggung bawah. Penelitian ini bertujuan menganalisis hubungan derajat dan klasifikasi DRA dengan dampak nyeri punggung bawah terhadap kemampuan fungsional sehari-hari ibu postpartum serta faktor-faktor yang berhubungan dengannya. Penelitian menggunakan desain cross-sectional dengan 100 ibu postpartum yang dipilih secara purposive sampling. Derajat dan klasifikasi DRA diukur menggunakan kaliper, sedangkan kemampuan fungsional sehari-hari diukur menggunakan Roland-Morris Disability Questionnaire (RMDQ). Analisis dilakukan menggunakan uji Chi-Square, Fisher’s Exact Test, dan regresi logistik ordinal. Hasil penelitian menunjukkan 64% responden mengalami dampak nyeri punggung bawah terhadap kemampuan fungsional sehari-hari dalam kategori berat. Terdapat hubungan yang signifikan antara derajat DRA dengan kemampuan fungsional sehari-hari (p<0,001) dan antara klasifikasi DRA dengan kemampuan fungsional sehari-hari (p<0,001). Analisis multivariat menunjukkan pekerjaan dan derajat DRA berhubungan dengan kemampuan fungsional sehari-hari. Disimpulkan bahwa derajat dan klasifikasi DRA berhubungan dengan kemampuan fungsional sehari-hari ibu postpartum.