Welcome to the Current Issue of the Journal of Nursing Informatics and Healthcare Technology (JNIHT). This issue highlights cutting-edge research and innovative practices in nursing informatics and healthcare technology, focusing on advancing patient care, improving workflows, and enhancing decision-making processes.
Featured Articles in the Latest Issue
- Volume 3(Issue 1) JANUARY- JUNE 2026
Research Articles
Effectiveness of a Structured Teaching Programme on Knowledge and Attitude Regarding Substance Abuse Among Adolescent Boys A Quasi Experimental Study
Vol.3(1); Pages:1-12. Published on February-2026
Abstract
Adolescent substance abuse is an emerging health issue in the population that has negative implications on physical health, psychological well-being, academic achievement, and social performance. Educational interventions are important in enhancing awareness and positive attitude towards substance use prevention. The following study was intended to determine the efficiency of an organized teaching programme on knowledge and attitude toward substance abuse in adolescent boys of a selected institute in Cuddalore district. The design taken was a one-group pretest-posttest quantitative quasi experimental. The convenience sampling method was applied to select a group of 81 participants. The knowledge questionnaire and an attitude scale were used to gather the data in a semi-structured manner. The pretest results have shown that most of the participants possessed poor knowledge and negative attitude towards substance abuse. The results showed a significant increase in the knowledge and attitude scores after the educational intervention with most of the participants exhibiting sufficient knowledge and favorable attitude. The pretest and posttest knowledge scores had a statistically significant difference. The research findings lead to the conclusion that structured educational initiatives are effective in increasing the level of awareness and positive attitudes to substance abuse prevention among adolescents.
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Use of Artificial Intelligence–Enabled Decision Support in Acute Care Nursing: A Multicenter Cohort Analysis
Vol.3(1); Pages:13-21. Published on April-2026
Abstract
The application of artificial intelligence (AI) to clinical decision support systems (CDSS) has reshaped the field of acute care nursing by improving the quality of diagnosis and the effectiveness of workflow. It is a multicenter cohort study that assesses the performance of AI-driven CDSS in five tertiary hospitals. The results of analyzing the data of 1,200 cases of patients were used to compare the conventional decision-making with the use of AI assisted interventions. The findings indicate that diagnostic errors and patient outcomes are statistically reduced and that the effect is greater in time-sensitive conditions, such as sepsis and cardiac emergencies. Nurses also expressed that they felt more confident and less burdened with cognition in the usage of AI tools. Nevertheless, difficulties in terms of system interoperability and training of the users were found. The results demonstrate the relevance of elaborate implementation plans and on-going training interventions in order to fully optimize the value of AI in nursing practice. The paper is an addition to the existing body of research on the digital transformation of healthcare and the necessity of considering the ethics in the application of AI.
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Adoption of Telehealth Technologies by Rural Nursing Professionals: A Cross-Sectional Survey
Vol.3(1); Pages:22-30. Published on April-2026
Abstract
The telehealth technologies have taken the center stage in mitigating the disparities in healthcare access in rural areas. The proposed study will be a cross-sectional study conducted on the adoption and usability, as well as perceptions of telehealth systems and their applicability to rural nurses. Survey was conducted in 450 nurses in remote healthcare in Canada and the United Kingdom in a structured survey. The results indicate that there has been a high adoption rate, with more than 78 percent of the respondents using telehealth platforms regularly to consult with patients and monitor them. The main advantages are the increased access to patients, minimization of traveling difficulties, and continuity of care. Nevertheless, there are still the challenges of poor internet access, absence of uniform training, and data security issues. Another aspect of the work is the demographic differences in adoption because younger nurses are more technologically adaptable. These lessons highlight the need to develop infrastructure and specific educational programs to make the most of telehealth integration. Health care planners and policy makers should deal with them in order to achieve a fair healthcare provision process.
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Blockchain-Enabled Nursing Data Management: A Review of Current Evidence
Vol.3(1); Pages:31-40. Published on May-2026
Abstract
Blockchain technology has emerged as a promising solution for secure and transparent healthcare data management. This systematic review synthesizes current evidence on the application of blockchain in nursing informatics. A comprehensive search of electronic databases identified 42 relevant studies published between 2018 and 2025. The review highlights blockchain’s potential in ensuring data integrity, enhancing patient privacy, and facilitating interoperability across healthcare systems. Nursing-specific applications include secure patient record sharing, medication tracking, and audit trails for clinical documentation. Despite these advantages, challenges such as scalability, regulatory uncertainty, and high implementation costs remain significant barriers. The review also identifies a lack of empirical studies evaluating real-world outcomes, indicating a gap in translational research. Future studies should focus on pilot implementations and cost benefit analyses to validate blockchain’s feasibility in clinical settings. This review provides a foundational understanding for integrating blockchain into nursing workflows.
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Use of Wearable Monitoring Technologies for Chronic Disease Care
Vol.3(1); Pages:41-50. Published on June-2026
Abstract
Wearable health technologies have transformed the chronic disease management, with continuous monitoring of patients and interventions based on the results. The research is a longitudinal study that will explore the effects of wearable gadgets on the patient outcome and nursing practice within a 12-month time frame. Wearable sensors were used to track a group of 300 patients with both diabetes and hypertension to monitor important vital parameters like glucose and blood pressure. Nurses used real-time information to modify care plans and offer interventions on time. Findings show that there were major changes in the disease control, patient compliance, and fewer hospital readmissions. Also, nurses had improved clinical decision-making and increased engagement with patients. Nevertheless, issues were raised about accuracy of the data, reliability of the device, and privacy of the patient. The article highlights the role of wareable data integration into electronic health records and devising standard protocols in the interpretation of data. The presented results justify the implementation of wearable technologies as an essential element of contemporary nursing care.
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