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Academic programs in health informatics have been urged to align curricula with evolving workforce needs to better prepare graduates for practice. Such alignment supports workforce readiness, addresses talent shortages, and reduces onboarding burdens for employers. Although employers increasingly seek graduates who can demonstrate applied skills and competencies beyond textbook knowledge, academic programs continue to face challenges in translating workforce demand into curricular design. This Viewpoint is directed at health informatics program faculty and administrators and presents the author's perspective on a skills-first curriculum mapping approach aligned with current industry needs. The author argues that connecting program-level outcomes, course objectives, and learning activities to industry-recognized competencies strengthens workforce readiness while maintaining academic rigor. Drawing on the literature on competency-based education, workforce development, and health informatics training, this paper argues for intentional curriculum design that integrates transferable skills, stackable credentials, and stakeholder engagement. The key messages are as follows: (1) workforce demand should anchor curriculum design in health informatics programs, (2) curriculum mapping is a practical mechanism for operationalizing skills-first alignment, and (3) credential integration and continuous congruency evaluation support long-term program sustainability. This approach positions health informatics education to remain responsive, scalable, and aligned with the rapidly evolving professional landscape.

Advanced practice nursing in anesthesia (APNA) has emerged as an important workforce strategy to address global anesthetist shortages and rising surgical demand. However, the scope of practice and level of professional autonomy granted to APNAs vary substantially across healthcare systems. Existing literature has focused primarily on clinical competencies while paying less attention to the structural conditions shaping APNA roles. To examine global variation in APNA scope of practice and identify the structural determinants influencing professional autonomy across healthcare systems. A scoping review of peer-reviewed and gray literature published between 2001 and 2025 was conducted using the Arksey and O'Malley framework and reported according to the Preferred Reporting Items for Systematic reviews and meta-analyses extension for scoping reviews (PRISMA-ScR) guidelines. Searches were performed in PubMed, Embase, CINAHL, PsycINFO, the Cochrane Library, and selected organizational websites. Data were charted and synthesized using inductive thematic analysis. Thirty-five sources were included. Thematic synthesis identified a global spectrum of APNA autonomy ranging from independent practice to strict physician supervision. Six interrelated structural determinants shaped this variability: legislative and regulatory mechanisms, educational standards and credentials, economic incentives and reimbursement models, health system demands and access, professional power and interprofessional conflict, and macro-political forces and policy reform. Across jurisdictions, formal regulatory frameworks frequently diverged from actual clinical practice, particularly in rural and resource-constrained settings where workforce shortages expanded APNA responsibilities beyond statutory boundaries. Global variation in APNA scope of practice appears to be shaped more strongly by structural and political conditions than by clinical capability alone. Harmonized educational standards, clearer regulatory recognition, and reimbursement policies not contingent upon physician supervision may facilitate more consistent integration of APNAs within the global anesthesia workforce.

Robotic-assisted total knee arthroplasty (RA-TKA) has spread on the promise of greater precision, yet whether that precision improves what patients experience is unsettled. This review synthesizes evidence on the radiological precision and clinical outcomes of RA-TKA, situates its health-economic case, and defines benchmarks for emerging platforms. Structured non-systematic review of peer-reviewed literature indexed in PubMed/MEDLINE (January 2015-December 2025), with predefined eligibility criteria and a level of evidence assigned to every cited clinical study by Oxford Centre for Evidence-Based Medicine 2011 criteria. Manufacturer and institutional sources were used only where peer-reviewed data are absent, and are identified as such. RA-TKA more than halves the risk of a hip-knee-ankle deviation beyond three degrees, with the largest gains in severe deformity; between robotic platforms these differences largely disappear. Component positioning improves against manual instrumentation, though gap-balancing evidence is thin and largely single-platform. Early recovery favors robotics, but one-year scores, satisfaction, and implant survival mostly match conventional TKA (C-TKA). One retrospective series reported more manipulation under anesthesia after robotic surgery; the finding is not reproduced elsewhere and tracks a default tibial slope target. The economic case holds under bundled payment but not under French activity-based tariffs. RA-TKA delivers measurable radiological precision whose translation into durable patient benefit remains unproven at a predominantly Level III standard of evidence. Most comparative data derive from a single image-based platform and rarely extend beyond two years. Emerging platforms should be judged against defined evidentiary standards, including safety, rather than engineering credentials. Level of Evidence. V (narrative review).

Falls constitute a leading cause of injury-related mortality among older adults globally. Chinese short-video platforms collectively reach over 900 million users, presenting unprecedented opportunities for health education, but the quality of fall prevention content and its relationship with user engagement have not been systematically evaluated. To evaluate fall prevention video quality across major Chinese short-video platforms, identify content creator characteristics associated with higher-quality information, and examine whether user engagement metrics correlate with video quality. We conducted a cross-sectional analysis of 216 fall prevention videos from five platforms (Douyin, Kuaishou, Bilibili, Xiaohongshu, Xigua Video) during October-November 2025. Two independent medical-school graduates with formal medical education and research expertise in medical informatics assessed video quality using the modified DISCERN instrument (mDISCERN; range 5-25) and Global Quality Scale (GQS; range 1-5). Interrater agreement was quantified using both intraclass correlation coefficients (ICC) and Cohen's weighted κ. User engagement metrics were extracted and analyzed using both Pearson and Spearman correlations. Interrater reliability was excellent for mDISCERN (ICC=0.890; weighted κ=0.890) and good for GQS (ICC=0.723; weighted κ=0.722). Mean mDISCERN score was 17.61 (SD 2.87), with 48.1% achieving high quality. Uploader type demonstrated the strongest quality association (ε²=0.64): healthcare professionals substantially outperformed self-media creators (Cohen d=3.42). Platform verification strongly predicted quality (88.7% vs 9.1% high-quality; φ=0.79). Engagement metrics showed weak association with quality in this sample (Spearman ρ=0.149 for likes, explaining only 2.2% of variance), with detection power constrained by severe right-skewness and floor effects (e.g., 30.1% of videos had zero comments). Content creator credentials and platform verification effectively discriminate video quality, while engagement metrics show only weak association in this sample. These findings support platform policies prioritizing verified professional content and indicate that engagement-based metrics, despite their algorithmic prominence, do not reliably signal health information quality in this dataset.

Out-of-hospital community births account for 1.6% to 2% of births in the United States and are associated with fewer obstetric interventions but increased neonatal risk. Little is known about how maternity care providers' characteristics, values, and prior exposure to community birth influence attitudes toward community birth. We conducted an observational cross-sectional survey using a 40 to 43 item Research Electronic Data Capture questionnaire distributed October 2 to 30, 2024. Eligible participants ("providers") included in-hospital physicians, midwives, community birth providers, and registered nurses. The survey assessed demographics, practice characteristics, provider values, prior community birth experience, and attitudes toward community birth. Descriptive statistics were used to summarize characteristics. Group comparisons between in-hospital and community birth providers were conducted using analysis of variance and χ2 or Fisher exact tests. Associations between attitudes and provider values were evaluated using linear models with Bonferroni correction. Sixty-seven providers completed the survey (51 in hospital, 16 community based). Most respondents were female (89.6%) and White (77.6%), with a median of 7 years in practice (IQR, 3-14.5). Attitudes significantly differed by role (P =  .007) and credentials (P =  .002). In-hospital providers reported safety concerns about community birth and perceived antenatal counseling to be inadequate. Perceived patient distrust during transfer was common among both in-hospital and community-based providers (69% and 81%, respectively). After adjustment for provider role and multiple comparisons, no significant differences in personal values were noted by attitude group; however, providers with positive attitudes toward community birth were more likely to believe that patients value compassion (β = 2.3, P =  .004). Provider attitudes toward community birth appear to be shaped more by professional role and clinical experience than by differences in underlying value systems. High levels of perceived patient distrust during transfer highlight the need for interventions that strengthen compassion across maternity care settings.

Artificial Intelligence (AI) is presently reshaping higher education in a rapid way, due to the high engagement of students with AI. The study's aim was to explore strategies driving transformation in higher education at large and particularly dental education. This article is a narrative review adopting a structured approach for literature search, study selection, and data extraction. A comprehensive search of electronic databases, including PubMed, Scopus, Google Scholar, and ScienceDirect for studies published between 2015 and 2025 was conducted. The review is discussed under the themes of transformative education, institutional readiness, including resistance to change, ethical considerations and global perspectives in health professions, and dental education. Further, transformative education explores faculty development, including micro-credentials and lifelong learning, a safe learning environment, infrastructure, and assessment. AI is well acknowledged in both health profession education and clinical practice. While GenAI has the potential to improve creativity, feedback, and collaborative learning, the issues of plagiarism, assessment validity, and authorship transparency are also discussed. AI encounters limitations in gauging psychomotor dexterity and clinical reasoning. Ethical concerns about algorithmic prejudice, data privacy, monitoring, and the deterioration of human-centered learning are also included. To conclude, transformative strategies for institutional readiness to be considered under the domains of governance and policy, curriculum integration and faculty training, academic integrity and assessment reforms, and leadership and change management to ensure proper integration of AI and to prepare competent, adaptable, and socially responsible health professionals. Maintenance of human oversight at the center of higher education is essential, and universities should treat AI as a catalyst for modernization rather than a threat.

Dental hygiene practice is rapidly evolving in response to emerging evidence on the oral-systemic health connection, advances in preventive technologies, and increased emphasis on individualized, minimally invasive care. A commitment to lifelong learning and continuing professional development is essential for maintaining clinical competence and integrating new scientific knowledge into practice. Biological dental hygiene has emerged as a complementary framework that emphasizes whole-body health, biocompatibility, reduction of toxic exposures, and prevention-centered care. This approach expands traditional dental hygiene practice by incorporating enhanced risk assessment, salivary diagnostics, targeted preventive strategies, as well as patient education focused on nutrition, inflammation reduction, and systemic health influences. This short report describes the principles of biological dental hygiene and its clinical application, including minimally invasive periodontal therapy, risk-based preventive protocols, and the use of biocompatible materials and adjunctive technologies. It also reviews professional development opportunities through the International Academy of Oral Medicine and Toxicology and the International Academy of Biological Dentistry and Medicine, which provide structured educational programs, ongoing professional development opportunities, and advanced credentials in biologically oriented oral health care. While these certifications do not alter licensure scope of practice, they support professional development and interdisciplinary collaboration. Biological dental hygiene offers an expanded framework for integrating oral and systemic health considerations into preventive care. Continued engagement in evidence-informed education and professional certification may enhance patient education, clinical decision-making, and overall care delivery within dental hygiene practice.

In late 2025, the Cyberspace Administration of China released new requirements around the provision of online professional advice by users without relevant credentials, as part of broader efforts to curb misinformation. In this News and Perspectives article, JMIR Correspondent and long-time PC and consumer technology analyst Tim Bajarin reports his opinion on the potential implications of this initiative for the United States.

The Army Nurse Corps (ANC) relies on both Areas of Concentration (AOC) and Additional Skill Identifiers (ASI) to define the roles and advanced competencies of its officers. Among these, the M9 ASI, Nurse Case Manager (NCM) has emerged as a critical capability within military healthcare. This article provides a comprehensive overview of the history, strategic relevance, and evolving role of the M9 specialty. The M9 ASI was formally codified in Army regulations to align case management with national professional standards and institutionalize it as a readiness enabler. Nurse Case Managers provide comprehensive care coordination, streamline referrals, and facilitate rehabilitation through the Integrated Disability Evaluation System (IDES) and Soldier Recovery Units (SRUs), directly reducing lost duty days and medical non-deployability. Their contributions extend beyond individual Soldier outcomes, influencing systemic improvements across Army Medicine and the Defense Health Agency (DHA). Case managers operating outside traditional Army medical treatment facilities, particularly in overseas environments, also act as liaisons with host nation healthcare systems, highlighting the adaptability and complexity of the role. Looking forward, the M9 ASI will expand into telehealth, predictive analytics, and enhanced credentialing, ensuring continued alignment with the Army's readiness mission. As a cornerstone of the ANC, the M9 Nurse Case Manager exemplifies how nursing specialization sustains Soldier health, supports leadership decision-making, and advances military healthcare delivery.

Continuous doula support during labor and delivery in the hospital setting is associated with improved maternal and newborn outcomes, such as reduced labor duration and higher infant Apgar scores. ACURE4Moms, a 4-arm cluster randomized controlled trial of 39 prenatal clinic groups across North Carolina, is evaluating whether community-based doula support can reduce low birthweight. This short report outlines hospital doula policy insights gleaned from implementation of the doula support intervention. Identify the most common models for doula support in the hospital setting and discuss their potential impact on patient access to doula support. We worked with study clinics and their health systems to obtain their hospital doula policies so that we could prepare study doulas to support patients at the participating hospitals. We conducted thematic analysis to categorize the policies by their various approaches. Four commonly observed approaches to hospital access policies for doulas were identified among study sites: (1) the Visitor Model, (2) the Credentialing Model, (3) the Vendor Compliance Model, and (4) the Hospital Workforce Model. We noted that the wide variability in policies and their enforcement and restrictiveness could create confusion and unnecessary barriers for doulas who support patients in labor. There is a need for equitable, standardized, and clearly communicated hospital doula policies to ensure that more patients, especially those from underserved populations, can access the benefits of continuous doula support in hospital-based births.

The 2022 transition of United States Medical Licensing Examination (USMLE) Step 1 from numeric to pass/fail scoring represents a fundamental shift in neurosurgery residency applicant selection. Historically, Step 1 scores served as a key objective metric. With numeric scores no longer available, programs may place greater emphasis on alternative metrics. To the authors' knowledge, this study is the first that aimed to evaluate how predictors of neurosurgery match outcomes have shifted before and after Step 1 became pass/fail. We conducted a retrospective cohort analysis of neurosurgery residency applicant data from pre-pass/fail (Step 1 numeric) and post-pass/fail eras. Data were used from the 2023 and 2024 application cycles. Variables included demographics, USMLE Step 2 clinical knowledge (CK) scores, Step 1 pass status, research output variables, dedicated research years, postgraduate training after medical school graduation, Alpha Omega Alpha (AOA) membership, home institution status, and other academic metrics. Descriptive statistics were compared for matched and unmatched applicants within each era. Independent predictors of match success were identified through multivariable logistic regression analysis. In the pre-pass/fail era, matched applicants had higher Step 2 CK scores and more review article, neurosurgery-specific, neurosurgery-specific first-author, and total publications than unmatched applicants (p&#x202f;<&#x202f;0.001 for all). Independent predictors of match success included Step 2 CK score and review article productivity. Research year and postgraduate training were negative predictors. In the post-pass/fail era, Step 2 CK, home institution, AOA membership, research year, neurosurgery-specific publications, and basic science publications were significant positive predictors. Review articles no longer predicted match success. The transition to pass/fail Step 1 has shifted the emphasis of neurosurgery residency applicant selection from general research productivity and review articles toward specialty-specific scholarship, home institution affiliation, AOA membership, and dedicated research experience. Step 2 CK has remained a consistent predictor across eras.

Nurse Practitioner (NP) roles are promoted to address workforce shortages and improve care access. Variation in regulatory authority, financing structures, and system-level integration mechanisms influences how NP roles are implemented across health systems. To synthesize empirical evidence on how NP roles are regulated and operationalized across policy environments and how regulatory design, financing alignment, and integration mechanisms influence health system contributions. A systematic review following PRISMA guidelines was conducted. PubMed, CINAHL, Scopus, and Web of Science were searched for studies published between 2015 and 2025 examining NP regulation, implementation processes, or outcomes. Twenty-seven studies met the inclusion criteria, with most evidence originating from the United States and limited representation from other countries. Regulatory liberalization, particularly full practice authority, was associated with improved access indicators, NP presence in shortage areas, and fewer hospitalizations. However, these benefits appeared unlikely to result solely from regulatory reform and instead depended on whether legal authority was supported by integration mechanisms, such as credentialing and privileging, billing and reimbursement, workforce deployment, and organizational governance. Policy reforms expanding NP authority should be designed as integrated reform packages rather than stand-alone regulatory changes. Alignment of scope-of-practice authority with credentialing and privileging, billing and reimbursement, workforce deployment, and organizational governance is necessary for legal authority to translate into measurable health system contributions.

The introduction of Egypt's national nursing pre-licensure examination has created new academic and psychological challenges for final-year nursing students, particularly because of limited familiarity with the examination format and insufficient structured preparation resources. Although combined examination-preparation and stress-management programs may improve students' readiness, evidence regarding their effectiveness in reducing perceived stress among Egyptian nursing students remains limited. To evaluate the effect of a structured Maintenance of Certification-based training program on perceived stress among final-year nursing students preparing for the Egyptian national pre-licensure examination. A quasi-experimental comparative study was conducted among 1000 final-year nursing students recruited from 8 nursing faculties across Egypt. Participants were allocated to an intervention group that received a four-week structured training program comprising theoretical review, mock examinations, individualized feedback, and stress-management strategies, or a control group that continued with the standard curriculum. Perceived stress was assessed before and after the intervention using the 10-item Perceived Stress Scale. Data were analyzed using independent-samples and paired-samples t-tests, analysis of variance, and multiple linear regression. Baseline perceived stress scores were comparable between the intervention and control groups (28.8&#x2005;&#xb1;&#x2005;5.7 vs 29.2&#x2005;&#xb1;&#x2005;6.0, P&#x2005;>&#x2005;.05). Following the intervention, the intervention group had a significantly lower mean stress score than the control group (12.1&#x2005;&#xb1;&#x2005;3.2 vs 31.1&#x2005;&#xb1;&#x2005;7.1, P&#x2005;<&#x2005;.001). Perceived stress decreased significantly within the intervention group, whereas it increased significantly within the control group (both P&#x2005;<&#x2005;.001). Higher academic GPA, good computer skills, and prior knowledge of the pre-licensure examination were significant predictors of lower post-intervention stress, while smoking was associated with higher stress. The regression model explained 54% of the variance in post-intervention perceived stress. The structured training program was associated with a substantial reduction in perceived stress among nursing students preparing for Egypt's national pre-licensure examination. Integrating structured examination preparation and psychological support into final-year nursing curricula may improve students' readiness for the transition from education to professional practice.

Aligning medical education curricula with standardized competency-based assessments is a multifaceted task that requires accuracy and consistency. While generative artificial intelligence (GenAI) models offer potential assistance, their performance compared to that of human subject matter experts remains unclear. This study investigates the consistency, accuracy, and strategies of human- and AI-generated alignments of pharmacological topics with the United States Medical Licensing Examination (USMLE) Step 1 content. A comparative case study examined curricular alignment results produced by GenAI models and human experts. Agreement percentages and pairwise correlation coefficients were calculated to assess consistency and consensus within and between the two groups, highlighting similarities and differences in alignments. We also examined challenges, strategies, and the impact of time constraints on the alignment task. GenAIs exhibited higher inter-rater reliability in within-group comparisons, with exact agreement percentages ranging from 60% to 79% and stronger correlations. In contrast, human raters demonstrated greater variability, with exact agreement percentages between 14% and 66% and weaker correlations. While partial agreement improved alignment for both groups, GenAIs maintained higher overall consistency and consensus. On the other hand, only two human raters and all GenAI models exhibited high inter-rater reliability in between-group comparisons. GenAIs generated alignments based on contextual analysis and hierarchical mapping, while humans engaged in iterative refinement using their expertise and reflection. Time constraints had a minimal impact on GenAIs, whereas it was acknowledged as a limiting factor for human performance. GenAIs can efficiently provide accurate and consistent alignments of pharmacological content in medical curricula but lack the sophisticated decision-making capabilities of human experts. While human alignments show variability due to human experts' diverse perspectives and backgrounds, trained experts make more contextually informed decisions. A conceptual model of Curricular Human-AI Teaming (Curricular HAT) could combine these complementary strengths to enhance the workflow and outcomes of curricular alignment. The model supports the transparency and scalability of human-AI collaboration while maintaining the responsibility of human judgment and ethical use of GenAI.

Robotic platforms have expanded the indications and techniques for abdominal wall reconstruction (AWR). This comprehensive narrative review examines current evidence on the evolution, technical variations, clinical outcomes, and cost implications of robotic AWR (rAWR), taking data from systematic reviews, meta-analyses, randomized clinical trials, and large registry studies. Robotic platforms provide enhanced dexterity and three-dimensional visualisation, facilitating complex repairs such as transversus abdominis release using extraperitoneal, transabdominal, and hybrid approaches. Published data suggest rAWR is associated with comparable or reduced rates of visceral injury and surgical site occurrence compared with open repair, but shorter hospital stay (median 1 day vs. 3-4 days for open), and lower readmission rates. There are similar long-term recurrence rates across open, laparoscopic, and robotic approaches, though the learning curve impacts early outcomes. There is conflicting evidence regarding early postoperative pain. Despite higher upfront expenditure, hybrid approaches appear most cost-effective due to reduced complications and length of stay. rAWR is safe and effective, offering advantages in visualisation, and recovery, with outcomes comparable to or better than open repair. Future priorities include standardised credentialing, rationalization of technique selection, and generating long-term data registries. Finally, rAWR should be delivered within multidisciplinary abdominal wall teams to optimise patient selection and outcomes.

The global transition toward patient-centered pharmaceutical care has exposed structural disparities in ASEAN pharmacy workforce training and deployment. This review examines four research questions: how pharmacy education systems and accreditation standards differ across Indonesia, Malaysia, Thailand, the Philippines, and Singapore (collectively, the ASEAN-5); the extent to which pre-registration education influences clinical service scope and professional confidence; how education reform and regulatory change have shaped pharmacist clinical roles; and what barriers and enablers exist for regional qualification harmonization. A systematic literature review following PRISMA 2020 was conducted. Searches of PubMed/MEDLINE and Scopus, supplemented by grey literature, were completed in May 2026. Of 78 unique records screened, 46 studies published between 2005 and 2026 met inclusion criteria. Quality appraisal used an adapted Mixed Methods Appraisal Tool; synthesis employed narrative thematic analysis. The five countries represent four structurally distinct pharmacy education architectures: Thailand's standardized six-year Doctor of Pharmacy with dual specialization tracks; four-year Bachelor of Pharmacy programmes in Malaysia and the Philippines with institutional variation; Indonesia's clinically underdeveloped system despite rapid expansion; and Singapore's four-year Bachelor of Pharmacy followed by a nationally mandated one-year pre-registration pathway. Evidence links deeper clinical training to broader practice scope, higher confidence, and improved patient outcomes. Reform produced uneven results: Thailand's PharmD transition improved clinical recognition but exposed deployment paradoxes; Singapore achieved the strongest training-to-practice alignment; Indonesia's health insurance reforms were not absorbed by an underprepared workforce; the Philippines lacks a national competency framework. No binding mutual recognition arrangement was identified; divergent qualification structures, incompatible accreditation systems, and an asymmetric evidence base remain the primary barriers. These findings indicate that clinical service scope is bounded less by national policy ambition than by the depth and clinical orientation of the pre-registration education that precedes it, and that credentialing reforms which outpace a health system's capacity to absorb new clinical roles, or the reverse, do not by themselves translate into expanded practice. Pharmacy education across the ASEAN-5 remains nationally distinct and clinically uneven. Clinical service scope is directly bounded by pre-registration education quality. No country has fully closed the education-practice gap. Regional harmonization requires national-level educational reform as a prerequisite.

Digital health platforms are intended to democratize healthcare, yet they often encounter the "digital health paradox," where tools primarily benefit those with high digital literacy. In the Principality of Asturias (Spain), the Mi asturSalud portal was implemented to foster patient co-responsibility, but its actual usage patterns and equity determinants remain under-researched. To identify distinct behavioral user profiles and analyze the sociodemographic determinants of portal adoption, as well as the predictors of perceived digital barriers, in a Primary Care setting. A multicenter cross-sectional study was conducted (N=384) across four health districts. Predictors of portal adoption and digital barriers were analyzed using mixed-effects logistic regression models, with the health center as a random effect to account for data nesting. Among active portal users (n=138), hierarchical cluster analysis was performed to identify distinct engagement patterns, utilizing the elbow method for cluster selection and Pearson's chi-square tests for profile comparison. Two distinct user profiles emerged: "Comprehensive clinical users" (72.5%), who autonomously access clinical data, and "Limited administrative users" (27.5%), whose interaction is confined to basic transactional tasks. Mixed-effects models revealed that adoption is primarily driven by individual sociodemographic factors, particularly educational attainment and age, rather than geographic or institutional context (ICC = 0.026). Education proved to be a more potent predictor than household income. Significant barriers to engagement included credential complexity and a lack of functional literacy regarding clinical features, disproportionately affecting users with lower educational attainment. A significant "functional divide" exists, where a segment of the population remains limited to superficial administrative interactions. Digital inequality is a transversal issue rooted in individual capabilities and social support structures. Achieving digital equity requires moving beyond mere technical access toward personalized interventions, with Primary Care nursing serving as a critical mediator for fostering functional health literacy.

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This study explores the challenges experienced by Malaysian nurses working in Singapore, Saudi Arabia, and Brunei. Global nurse migration has intensified in response to workforce shortages and transnational healthcare demands. Although the experiences of internationally educated nurses have been widely examined, limited research has focused on the context-specific challenges encountered by Malaysian nurses across different host-country environments. A qualitative design was employed. In-depth virtual interviews were conducted with 12 Malaysian nurses recruited through purposive and snowball sampling. Interviews were transcribed verbatim and analyzed using thematic analysis with the support of NVivo software. The study adhered to the Consolidated Criteria for Reporting Qualitative Research (COREQ) guidelines to ensure methodological rigor and transparency. Three themes were identified: (1) professional and practice challenges, (2) social and cultural challenges, and (3) psychological and interpersonal challenges. Participants reported experiences of restrictive credentialing systems, intensified workload expectations, technological and systematic adaptation pressures, dietary and cultural adjustment, and psychological stress. The nature and intensity of these challenges varied across host countries, reflecting differences in regulatory frameworks, institutional cultures, and sociocultural environments. The findings demonstrate that migrant nurses' experiences are shaped not only by individual adjustment processes but also by structurally mediated and context-dependent factors within transnational healthcare systems. This study highlights the importance of host-country-sensitive and stakeholder-specific strategies to promote equitable professional integration, psychological well-being, and long-term workforce sustainability. Nursing leaders and healthcare institutions should implement culturally responsive orientation, structured mentorship, and supportive workplace environments to facilitate the professional integration and well-being of migrant nurses. Coordinated transnational policies are needed to address institutional, regulatory, and professional barriers affecting migrant nurse integration.