Article Per Year (5 Year)
p-Index From 2021 - 2026
1.829
P-Index
This Author published in this journals
All Journal Health Notions International Journal of Advanced Health Science and Technology Jurnal Keperawatan Jurnal Keperawatan (e-Journal) Journal of World Future Medicine, Health and Nursing
Nur Hasanah
Poltekkes Kemenkes Surabaya
Dentistry Electrical & Electronics Engineering Health Professions Medicine & Pharmacology Nursing Public Health

Published : 11 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 11 Documents
Search

 1   2 
AI-ASSISTED DIAGNOSTICS IN NURSING PRACTICE: IMPACT ON PATIENT ASSESSMENT AND CARE Dhiana Setyorini; Rini Ambarwati; Minarti Minarti; Nur Hasanah
Journal of World Future Medicine, Health and Nursing Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/health.v4i1.3367

Abstract

The rapid integration of artificial intelligence (AI) into healthcare has transformed clinical decision-making processes, including patient assessment and diagnostic support. In nursing practice, accurate and timely assessment is critical to patient safety and quality of care, yet increasing workload and clinical complexity often challenge nurses’ diagnostic performance. This study aims to examine the impact of AI-assisted diagnostic tools on nursing assessment accuracy, efficiency, and overall patient care outcomes. The research employs a mixed-methods design combining quantitative analysis of assessment performance indicators with qualitative exploration of nurses’ experiences in clinical settings where AI diagnostics are implemented. Data were collected from registered nurses across selected hospital units using standardized assessment records, questionnaires, and semi-structured interviews. The results indicate that AI-assisted diagnostics significantly improve assessment accuracy, reduce time to clinical decision-making, enhance early detection of patient deterioration, and increase nurses’ confidence in clinical judgment. Qualitative findings reveal that nurses perceive AI tools as supportive systems that augment, rather than replace, professional expertise when appropriately integrated into workflows. The study concludes that AI-assisted diagnostics represent a valuable advancement in nursing practice by strengthening patient assessment and promoting safer, more consistent care.  
Co-Authors Albertha Lembunai Tat Anita Joeliantina Benny Novico Zani Cahyono, Intim Endang Soelistyowati Indira Ismi Azizah Indriatie Indriatie Indriatie Indriatie Indriatie Indriatie Jenie Palupi Krupa Susan Koshy Mardiyana, Enung Minarti Minarti Noer Saudah Novitasari, Aida Nur Aini Luthfi Rahmawati Padoli Padoli Padoli Padoli Rini Ambarwati Rini Ambarwati Rini Ambarwati Setyorini, Dhiana Yuniar Sulistyo Kartika Sukma