https://journal.apjcn.ir/index.php/ejhc/issue/feed 2024-01-07T07:45:05+00:00 Editorial EJHC editorial.ejhc@gmail.com Open Journal Systems <p>The Journal of Digital Health and AI publishes high-quality research at the intersection of data, algorithms, people, and care delivery. Scope includes development, validation, and reporting of machine-learning, deep-learning, and causal inference methods for prevention, diagnosis, prognosis, treatment selection, and operational efficiency across clinical, public-health, and consumer settings. We welcome studies on data infrastructure—EHRs, imaging, genomics, wearables, social determinants, and multimodal fusion; model robustness, drift, bias, and fairness; privacy-preserving analytics; human factors, usability, and clinician–AI collaboration. Implementation science, real-world evidence, prospective trials, and post-deployment monitoring are central, alongside reproducibility, open datasets, benchmarks, and standards for documentation and evaluation. The journal features work on safety, security, and regulatory science; health economics, reimbursement, and value assessment; interoperability, MLOps, and lifecycle governance. Ethical, legal, and social implications—including transparency, accountability, explainability, and equity for underserved populations—are in scope, as are policy analyses shaping responsible innovation. We publish original research, methodological notes, negative or null results, registered reports, protocols, rapid communications, and rigorous reviews. Submissions should demonstrate clinical or societal relevance, clear reporting, and actionable insights to guide practice, procurement, and policy. Our goal is to advance trustworthy, scalable, and inclusive digital health powered by AI. We welcome diverse disciplines and global, cross-sector collaborations worldwide.</p> https://journal.apjcn.ir/index.php/ejhc/article/view/40 2024-01-07T07:36:15+00:00 Pushpa Thomas John Pushpa.Thomas-John@ehs.gov.ae Sameera Suleiman Pushpa.Thomas-John@ehs.gov.ae Rola Helmi Pushpa.Thomas-John@ehs.gov.ae Fatima M Akkawi Pushpa.Thomas-John@ehs.gov.ae Amna Saleh AlMarzooqi Pushpa.Thomas-John@ehs.gov.ae Aneeshya Elias Pushpa.Thomas-John@ehs.gov.ae

<div class="page" title="Page 1"> <div class="layoutArea"> <div class="column"> <p>Background: HospitalizaBon of neonates in the Neonatal Intensive Care Unit (NICU) pre- sents significant stress and adaptaBon challenges for mothers. Understanding their needs is crucial for opBmal care, as unmet needs can adversely affect both maternal and infant health outcomes.</p> <p>Purpose: This study aims to systemaBcally assess the maternal needs and prioriBes in the NICU seRng, emphasizing the significance of maternal well-being in neonatal care.</p> <p>Methods: Employing a cross-secBonal survey design, we engaged 200 mothers of hospi- talized neonates in Al Qassimi Women and Children Hospital, Sharjah. The Maternal Needs Inventory, comprising 25 items across five dimensions (Assurance, Proximity, InformaBon, Support, and Comfort), was uBlized. Mothers rated their needs and listed their top five prioriBes.</p> <p>Results: Assurance needs emerged as paramount, with 87.2% of mothers highlighBng them as criBcal. Comfort needs were deemed least important (52.4%). A significant associaBon was noted between maternal needs and certain demographic variables, underscoring the diversity of maternal experiences in the NICU.</p> <p>Conclusion: The Maternal Needs Inventory proves to be an effecBve tool in recognizing and addressing mothers’ needs in the NICU. Addressing these needs is vital for fostering a family-centered care approach, crucial for both maternal and neonatal well-being.</p> </div> </div> </div>

2024-01-07T00:00:00+00:00 Copyright (c) 2024 Pushpa Thomas John, Sameera Suleiman, Rola Helmi, Fatima M Akkawi, Amna Saleh AlMarzooqi, Aneeshya Elias