This paper examines Ghana's COVID-19 response through a biopolitical and biosecurity lens. Drawing on Michel Foucault's concept of biopolitics, it analyzes how interventions such as lockdowns, biosurveillance, and vaccination campaigns functioned both as technologies of care and instruments of control, expanding state authority over biological and social life. The study shows that biopolitics in Ghana did not replicate Western models but emerged as a provincialized and context-dependent form of power shaped by infrastructural constraints, informal economies, and postcolonial state formation. Pandemic governance was, therefore, adaptive and improvisational, requiring negotiation between epidemiological control and socioeconomic survival. By bringing biopolitics into dialogue with postcolonial theory and necropolitics, the paper conceptualizes pandemic governance as a hybrid regime in which life-preserving and life-abandoning logics coexist. It thus challenges universalist assumptions and repositions the Global South as central to rethinking the governance of life.
This paper examines the "expressivist objection" to physician-assisted dying (PAD) laws, which argues that limiting eligibility to terminal or incurable conditions expresses a discriminatory message devaluing such patients' lives. It critiques three common responses-abolishing PAD, removing medical criteria, and consequentialist justification-as inadequate. Instead, the author proposes that legally protecting healthcare professionals' conscientious objection can counterbalance this expressive harm. By accommodating conscientious objectors, the legal system actively affirms that the lives of incurably or terminally ill patients remain worthy of respect and preservation. This expressivist rationale grounds conscientious objection as a legal right rather than a mere permission, offering a key mechanism to address the moral residue generated by PAD legislation. Furthermore, this expressivist rationale addresses concerns about the reasonableness, genuineness, and professional ethics of conscientious objection. Finally, the paper provides a principled defence of conscience protections that preserves value pluralism without undermining access to PAD or abandoning the clinical foundations of PAD.
HER2-positive breast cancer is an aggressive subtype associated with high rates of early recurrence and brain metastasis. Standard adjuvant therapy, including anti-HER2 targeted agents, significantly improves outcomes. This case illustrates the natural history of untreated HER2-positive breast cancer and documents an exceptionally rare metastatic site. We report a case of a 63-year-old woman with HER2-positive (3+, FISH amplified), ER-positive (80-90%), PR-negative, Ki-67 15% invasive ductal carcinoma of the left breast (pT1cN2aM0, 7/12 axillary lymph nodes positive). The patient refused all standard adjuvant therapies (chemotherapy, radiotherapy, endocrine therapy, and anti-HER2 therapy) and opted for sole Chinese herbal medicine. After seven years of follow-up (with a disease-free interval of approximately four years, she developed a right cerebellar hemisphere metastasis (2.3×2.7 cm with extensive edema), widespread lymphadenopathy, and a pathologically confirmed thyroid metastasis-an extremely rare event in breast cancer. Fine-needle aspiration of the thyroid nodule demonstrated atypical cells, and subsequent immunohistochemistry confirmed breast cancer origin (GATA3+, GCDFP-15+, HER2 3+, ER+, TTF-1-, TG-). This case provides compelling in vivo evidence of the aggressive natural history of untreated HER2-positive breast cancer. The development of brain metastasis underscores the critical importance of anti-HER2 agents that penetrate the blood-brain barrier. The rare thyroid metastasis adds to the literature on unusual metastatic patterns. This report serves as a powerful warning of the consequences of abandoning evidence-based adjuvant therapy in high-risk breast cancer.
Although several barriers that discourage women physicians from pursuing surgical careers have been described, the factors that dissuade female medical students from choosing surgery during their training remain insufficiently understood. This was a descriptive, cross-sectional, exploratory study approach among female medical students in the state of Rio Grande do Sul (RS), Brazil. Data were collected through a non-probability convenience sample between November 2022 and March 2023 using an online questionnaire. A total of 584 valid responses were analyzed. Most respondents (75.5%) had considered pursuing a surgical career at some point, with initial interest most commonly arising before medical school admission. No statistically significant association was found between stage of training progression and interest in surgery (p = 0.564). The primary reason for abandoning interest in surgery was dissatisfaction with the perceived lifestyle associated with the specialty. Overall, 59.6% of participants reported perceiving gender as a limiting factor in surgical careers. A substantial majority (75.9%) indicated they would be more likely to pursue a surgical career if there were greater female representation among faculty. Additionally, 70.2% reported experiencing gender bias during medical school, with many incidents attributed to faculty members. Faculty engagement and institutional support emerged as key strategies to promote greater female participation in surgery. Despite the limitations inherent to the sample and study design, the findings highlight multiple factors contributing to the underrepresentation of women in surgical specialties and underscore the critical role of the educational environment in shaping career trajectories. These results may contribute to broader national discussions, given the shared curricular framework among Brazilian medical schools.
Mathematical methodology-spanning statistics, time series analysis, modeling, and AI-driven approaches-functions as a foundational language of biomedical research rather than a mere instrument, profoundly shaping the field by extracting structure from complex biological data. Yet as these methods grow more sophisticated, a quieter problem emerges: when the reasoning encoded in our methods is not made readable, scrutiny becomes harder-it grows more difficult to separate signal from artifact, mechanism from correlation, or insight from overfitting. The capacity for such distinctions is not lost to us; rather, the controls that data science has developed to enforce them are applied unevenly, and the expectation that quantitative methods remain legible to their users has eroded. We term this the "magicalization" of mathematics-the transformation of quantitative methods into oracular pronouncements accepted on faith or incantations rejected wholesale, rather than transparent arguments open to challenge. We treat this less as an accomplished verdict than as a tendency whose costs compound if current practice fails to correct it. This departs fundamentally from the vision of Poincaré and Wiener, who held that mathematics must function as a shared language sustaining dialogue between quantitative and domain experts. We readily concede that achieving operational understanding of mathematical constructs across disciplinary boundaries is inherently difficult; yet abandoning mutual intelligibility is neither scientifically sound nor methodologically neutral-it limits scrutiny and obstructs mechanistic understanding. We trace how magicalization manifests in clinical translation, black-box deployment, and research evaluation; identify its structural causes in complexity escalation, incentive misalignment, and disciplinary siloing; and argue that recovering mathematical interpretability serves as more than an academic luxury-it stands as a prerequisite for rigorous, mechanistically grounded biomedical science.
The radial artery (RA), a branch of the brachial artery, is frequently utilized in a variety of medical procedures: by cardiologists for cardiac catheterization, by nephrologists for arteriovenous fistula creation, by interventional radiologists, and by plastic surgeons for free flap reconstruction. Knowledge of RA anatomical variants is particularly important in patients with end-stage renal disease, as they often require fistula creation for hemodialysis. Failure to recognize such variants may lead to procedural complications. We describe the case of a 35-year-old man with diabetes whose preoperative ultrasound examination, performed before the creation of an arteriovenous fistula, revealed a high division of the radial artery into the superficial radial artery and the deep branch of the radial artery. The deep palmar branch of the radial artery was successfully used for anastomosis in the wrist. In this publication, we provide the data regarding this rare anomaly and indicate that such a finding should not lead to abandoning the creation of a radial-cephalic fistula.
Recently, cross-spectral image patch matching based on feature relation learning has attracted extensive attention. However, existing methods focus on mining richer feature relations by building complex relation extraction structures. Meanwhile, performance bottlenecks have gradually emerged. To address this, we make the first attempt to explore a stable and efficient bridge between descriptor learning and metric learning, and construct a Knowledge-Guided Learning Network (KGL-Net), which achieves significant performance improvements while abandoning complex network structures. Specifically, we find that there is feature extraction consistency between metric learning based on feature difference learning and descriptor learning based on Euclidean distance. This provides the foundation for bridge building. To ensure the stability and efficiency of the constructed bridge, on the one hand, we conduct an in-depth exploration of 20 combined network architectures. On the other hand, a feature-guided loss is constructed to achieve mutual guidance of features. In addition, unlike existing methods, we consider that the feature mapping ability of the metric branch should receive more attention. Therefore, a hard negative sample mining for metric learning (HNSM-M) strategy is constructed. To the best of our knowledge, this is the first time that hard negative sample mining for metric networks has been implemented and brings significant performance gains. Extensive experimental results show that our KGL-Net achieves SOTA performance in multiple cross-spectral image patch matching datasets. Our code is available at https://github.com/YuChuang1205/KGL-Net.
Syncope, as a symptom, remains poorly understood and handled in the UK. Personal involvement stemmed from successful abolition of syncope by cardiac pacing, initially in atrioventricular block then other bradycardias; UK facilities were sparse in the late 1970s. The aim was to broaden distribution and encourage understanding. To achieve this required abandoning the typical cardiology mindset and re-engaging with internal medicine. Syncope is poorly taught in medical schools, which implies that few physicians understand it and, therefore, cannot practise it to benefit patients. Syncope patients presenting in emergency departments (>1% of all) are frequently admitted to hospital to undergo numerous non-diagnostic tests, then discharged without diagnosis. Syncope has life-threatening causes in >1% of patients; given its prevalence, this represents a large number. Treatment is now possible. Syncope science has notably advanced, offering valuable diagnostic and therapeutic strategies. Ubiquitous delivery in the UK requires a new approach, which has been applied in the Netherlands. Now, more than ever, is the time to take syncope seriously, with action now to address this critical situation.
The integration of artificial intelligence (AI) into the medical and spiritual care of the sick is expected to challenge a range of religious values and norms. Various religious authorities have expressed concerns about AI's integration, which include the questionable ability of AI to express genuine empathy, the risk of humans abandoning caretaking roles, the misuse of AI for religious rites, the attributing of spiritual and supernatural qualities to machines leading to idolatry, the undermining of provider responsibility and accountability, the dereliction of human intellect, the risk of bias and inappropriate proselytization, and threats to health equity. This manuscript identifies common concerns across major religious traditions, including Judaism, Christianity, Islam, Hinduism, and Buddhism. AI integration should align with values that promote human health and flourishing. Such values are often rooted in religious teaching, and understanding the reservations that religious communities have toward AI will help ensure such alignment.
Slater, J. (2025. The Overgeneralization of the Future Like Ours Argument. The New Bioethics, 31 (1), 1-12. doi:10.1080/20502877.2025.2483588) argues that Don Marquis's Future-Like-Ours (FLO) account overgeneralizes by producing conclusions about cognitively enhanced animals and alien 'seeds'. This article defends FLO by showing that Slater's reductios depend on a permissive conception of present potential, according to which any externally producible valuable future confers moral status. I instead propose an intrinsic-nature account grounded in the distinction between active and passive potentiality. A being possesses potential for a valuable future only where that future would develop from its own first-order nature under supportive conditions, rather than being externally installed. This account defeats the enhanced-dog case and either resolves the alien-seed case or recasts it as an objection about positive duties. It also avoids disputed empirical claims about contraception and clarifies FLO's metaphysical commitments without abandoning its central deprivation-based account of killing.
Solid fundamental skills in periodontal diagnosis and treatment constitute the cornerstone of professional development and clinical competence for every dentist, particularly for periodontists. This article highlights the practical significance and urgency of strengthening such fundamental training within the current landscape of oral healthcare. These essential competencies, mandatory for both periodontists and general dentists, include periodontal examination, manual supragingival scaling, subgingival scaling and root planning, ultrasonic instrumentation, as well as basic periodontal surgical procedures such as gingivectomy and periodontal flap surgery. Proficiency in these skills is crucial for preventing periodontal diseases, arresting disease progression, and achieving long-term clinical stability. Furthermore, this article identifies seven common cognitive and operational misconceptions in current periodontal practice and proposes corresponding strategies. Neglecting fundamental skills while blindly pursuing advanced devices, complex procedures, or techniques absence of scientific evidence equates to abandoning the foundation of periodontal therapy. Therefore, continuous enhancement and innovating fundamental skills training in undergraduate, postgraduate, and dental continuing education hold strategic importance for improving the overall standard of periodontal disease prevention and treatment in China. 扎实的牙周病诊治基本功是每一位口腔医师，尤其是牙周专科医师专业发展与临床实践的基石。本文旨在探讨在当前口腔医疗环境下，加强牙周病诊治基本功训练的现实意义与紧迫性。牙周诊治基本功是牙周专科及口腔全科医师必须掌握的操作技能，涵盖牙周检查、手工龈上洁治术、龈下刮治与根面平整术、超声技术等基础治疗操作，以及牙龈切除术和牙周翻瓣术等基础性手术。熟练掌握并运用这些技能，是预防牙周疾病发生、控制其进展并获得长期稳定疗效的关键路径。本文进一步指出了当前牙周临床实践中存在的七大认知与操作误区，并提出相应对策。若忽视基本功而盲目追求高端器械、复杂操作或缺乏科学依据的新技术，无异于舍本逐末。因此，在院校教育、毕业后教育以及继续教育中持续强化并创新基本功训练模式，对全面提升我国牙周病防治水平具有重要的战略意义。.
Kultanaruangnonth et al. recently reported a well-conducted double-blind randomized trial comparing intraoperative irrigation with 0.05% aqueous chlorhexidine gluconate (CHG) against normal saline for the prevention of surgical site infection (SSI) in abdominal surgery, concluding that CHG did not significantly reduce SSI. We raise three interpretive points. First, the antimicrobial rationale offered for CHG draws on clean-field trials (arthroplasty, caesarean delivery, breast reconstruction) in which SSI is driven by skin flora, whereas this trial's population was predominantly colorectal and hepatobiliary/contaminated surgery, fields dominated by enteric gram-negative and anaerobic organisms against which chlorhexidine is comparatively less active a plausible explanation for the smaller-than-expected effect. Second, the trial's own 95% confidence interval for the primary risk ratio (0.45-1.25) spans a 55% relative reduction to a 25% relative increase in SSI, and is compounded by a statistically fragile exploratory multivariable model (49 events across eight covariates, several dichotomized); we argue the result is more accurately described as statistically inconclusive than as a negative finding. Third, the Discussion's suggestion of particular benefit 'in high-risk populations' is not supported by any treatment-by-subgroup interaction analysis in the manuscript. We conclude that these findings argue for a larger, stratified, culture-informed confirmatory trial rather than for adopting or abandoning CHG wound irrigation in contaminated abdominal surgery.
Non-suicidal self-injury behaviors are relatively common among adolescents with depression, seriously endangering their physical and mental health as well as the prognosis of the disease. Currently, the relationship between explicit self-injury behaviors, implicit self-injury attitudes and self-esteem levels of adolescents with depression is not clear. Therefore, this study systematically analyzed the correlation between explicit self-injury behaviors, implicit self-injury attitudes and self-esteem levels of adolescents with depression, aiming to provide theoretical basis for reducing self-injury behaviors and improving their self-esteem levels. A cross-sectional study was conducted from April 2025 to March 2026 at a mental health specialty hospital in Xinxiang City, Henan Province, China. Using the convenience sampling method, 116 adolescent patients with depression were selected to measure the Non-Suicidal Self-Injury Behavior Questionnaire, the Self-Esteem Level Scale, and to explore the patients' implicit attitudes toward self-injury through the Implicit Association Test. The score of explicit self-injury behavior in adolescent patients with depression was (25.66 ± 12.11); Correlation analysis showed that the explicit self-injury behavior of the patients was significantly negatively correlated with their self-esteem level (P < 0.05). The effect value of the implicit self-injury attitude of the patients was (0.26 ± 1.06), which was different from 0 and the difference was statistically significant; this suggested that the patients had a significant implicit tendency toward self-injury; there was no significant correlation between the implicit self-injury attitude and the explicit self-injury behavior, or the self-esteem level (P > 0.05). The explicit self-injury behaviors of adolescent patients with depression are at a medium-high level, and the implicit self-injury attitudes are significant and have an independent association effect. When conducting intervention for adolescent patients with depression in clinical settings, it is necessary to abandon the single explicit behavior intervention model and take into account the patient's implicit cognitive characteristics and self-esteem level. A comprehensive intervention system that integrates both internal and external aspects should be constructed to effectively reduce the risk of self-harm behaviors, enhance the patient's self-esteem level and overall mental health level.
Succession is a foundational concept in ecology, describing changes in populations, communities, and ecosystems over time following a disturbance. Predicting successional pathways is challenging because of high spatiotemporal variability. Here, we present a unifying mechanistic framework that integrates three core components of succession (start, speed, and direction) that define successional pathways. We monitored the first 5 years of forest succession in recently abandoned agricultural fields in six tropical landscapes across three countries that differ in land-use intensity and between dry and wet forests. We found that (i) secondary succession typically started with woody legacies and progressed slowly but directionally toward structurally complex, biodiverse forests, and (ii) the start and speed were greater in areas with short-duration, low-intensity (nonmechanized) land use associated with more biological legacies. This framework advances mechanistic understanding of succession by disentangling the start, speed, and direction, and provides a tool for designing effective forest restoration strategies.
The protracted conflict in Yemen has led to profound disruptions in the health system, fundamentally reshaping patterns of healthcare access and utilization. This commentary engages with a recent study that conceptualizes self-medication and informal antibiotic use as forms of coping and agency in constrained settings, and re-examines this interpretation within the context of systemic collapse. Drawing on a structural perspective, the analysis argues that self-directed care practices in Yemen are not temporary responses to episodic constraints but are embedded within enduring structural conditions shaped by infrastructure destruction, workforce depletion, and disruptions in medical supply chains. These conditions have produced overlapping physical, financial, and sociocultural barriers to healthcare access, contributing to the normalization of informal care practices, including self-prescription and reliance on community-based networks. The commentary also examines the role of psychological distress in shaping health-seeking behaviour, highlighting how the absence of accessible mental health services reinforces reliance on self-directed care. By reframing self-medication as an outcome of structural conditions rather than individual choice, this analysis contributes to debates on health system collapse in conflict settings and underscores the limitations of behaviour-focused interventions while emphasizing the need to address structural determinants of healthcare access.
The Internet of Things (IoT) represents a transformative paradigm in health care service delivery, offering unprecedented potential to enhance quality of care, operational efficiency, and patient outcomes through interconnected devices and real-time data analytics. Despite rapid adoption, implementation depends on patient acceptance as end users. While literature extensively documents technical and institutional perspectives, a comprehensive understanding of patient acceptance factors remains fragmented, with high technology abandonment rates. Systematic synthesis of patient perspectives is critically needed to inform user-centered design, effective implementation strategies, and supportive policy frameworks. This systematic literature review aims to identify and synthesize factors influencing patient acceptance of IoT technology in health care services, barriers hindering adoption, and effective strategies for enhancing acceptance. Following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) 2020 guidelines, we systematically searched eight electronic databases (PubMed/MEDLINE, Scopus, IEEE Xplore, Web of Science, ScienceDirect, ACM Digital Library, ProQuest, and Google Scholar) for empirical studies published between January 2016 and December 2024. Inclusion criteria encompassed peer-reviewed empirical research examining patient perspectives on IoT technology in health care services, published in English or Indonesian. From 2537 initially identified papers, 62 studies met inclusion criteria after systematic screening and full-text evaluation. Quality assessment was conducted using the Mixed Methods Appraisal Tool. The 62 included studies represented diverse geographic contexts (Asia, Europe, North America, and the Middle East) and methodological approaches. Quality assessment revealed 45 (73%) studies of good-to-excellent quality. Perceived usefulness emerged as the strongest acceptance facilitator, identified in 55 of 62 (89%) studies, followed by perceived ease of use in 47 (76%) studies, and trust and security in 42 (68%) studies. Cost-effectiveness was identified in 32 (52%) studies as an important consideration. Primary barriers included data security concerns in 26 (42%) studies, privacy issues in 24 (39%) studies, lack of digital literacy in 22 (36%) studies, and resistance to change in 20 (32%) studies. Interoperability issues and high costs were identified in 19 (31%) studies and 18 (29%) studies, respectively. User-centered design was the most frequently recommended enhancement strategy in 20 (32%) studies, followed by user-friendly interface development in 19 (31%) studies, digital literacy programs in 18 (29%) studies, and health care professional involvement in 15 (24%) studies. Digital literacy functioned as a significant moderator, and trust served as both direct predictor and mediator. Patient acceptance of IoT in health care represents a complex, multidimensional phenomenon requiring holistic approaches that integrate user-centered technology design, comprehensive digital literacy programs, trust-building mechanisms, and supportive policy frameworks. Successful implementation necessitates multilevel strategies addressing individual, organizational, and system factors simultaneously. With evidence-based, patient-centered approaches, IoT technology holds substantial potential to transform health care delivery into more proactive, personalized, and accessible services.
Agroforestry practices managed by indigenous communities have been identified as viable alternatives to monoculture practices in the transition from shifting cultivation to sedentary agricultural systems. Nonetheless, the long-term effects of such transitions on the dynamics of soil organic carbon (SOC) are not fully understood. In this study, we predict changes in SOC stock across a chronosequence of a natural forest stand and pineapple agroforestry systems (PAFSs) using an ensemble of models with four shared socioeconomic pathway scenarios. There was a strong agreement between the simulated and observed SOC stocks. Simulated SOC stocks with the Rothamsted Carbon (RothC) model in 15-year-old PAFS (83.2 Mg C ha-1) did not significantly differ from the value (90.4 Mg C ha-1) simulated for the natural forest. Simulations further revealed that average SOC stocks in 15-year-old PAFS would increase by 1.6 Mg C ha-1, while SOC stocks would decrease by 5.4 Mg C ha-1 in natural forests under climate change scenarios by 2060. It is concluded that traditional agroforestry practices such as PAFS can restore degraded land under shifting cultivation in the mountainous regions of the Indian East Himalayas and contribute to achieving carbon neutrality.
The aim of this study was to investigate the preferences of elderly patients with chronic diseases in rescue treatment decisions and explore the factors that influence their preferences. A survey was conducted on 838 hospitalized elderly patients with chronic diseases via general information questionnaires, generalized anxiety disorder scales, simplified elderly depression scales, death attitude scales, and traditional Chinese cultural belief scales. In this study, elderly patients with chronic diseases preferred active rescue, accounting for 61.0%, followed by those who preferred abandoned rescue, accounting for 26.6%, and those who preferred maintenance treatment, accounting for only 12.4%. Fear and anxiety of death, death avoidance, approach-oriented acceptance, traditional cultural beliefs, the ACCI, age, educational level, and religious beliefs are the influencing factors of elderly chronic disease patients' preference for rescue treatment (P < 0.05). More than half of elderly patients with chronic diseases prefer active rescue, and the influencing factors of rescue treatment decision-making preferences are complex. In clinical practice, healthcare professionals should provide personalized rescue treatment decision-making assistance to patients on the basis of various factors, such as their attitudes toward death, age, education level, religious and cultural beliefs, and complications.
Acceptance of teachers' need for pedagogical training to maintain quality in health professions education has grown. However, to enhance interest in becoming a professional teacher, a better understanding of experiences related to initial contact with teaching is needed. The framework of landscape of practice (LoP) offers a perspective highlighting identification processes as academics and clinicians participate in and navigate across familiar and new communities. The aim of this study was to explore how boundary crossing into teaching practices is expressed in educators' narrative constructions of critical incidents from teaching situations at a medical university. Teachers' written critical incident analyses (CIA) of teaching situations (N = 69), submitted during two iterations of a faculty development course at a medical university, were collected. The assignments were analysed using qualitative content analysis. One overarching theme, Teaching appears as an individual venture, and four subthemes, Internalised self-blame and external attribution of responsibility; Encountering teaching situations marked by limited control and psychological safety; Relational dynamics and communicative challenges; Pedagogical commitment and professional agency, were identified. The findings mirrored strong reactions, abandonment and isolation, but also engagement and responsibility for high-quality education. The findings show that engaging in educational practice, developing a professional identity as a teacher is a complex, often isolated endeavour, sometimes disconnected from primary professional practice. Relating these findings to identification processes described within the framework of LoP, demonstrates a need to support individual processes as well as the connections and collaboration between different communities in a LoP. To address this, three interrelated actions are needed: support from the teachers' primary communities of practice and the wider landscapes of practice; strengthening structural and cultural conditions that recognise education as a scholarly activity and an integral part of the university's LoP; and increased educational awareness and competence at management level.
IntroductionCancer registries are essential for surveillance and cancer control, yet many pediatric oncology registries capture limited longitudinal clinical data and are not designed to support care continuity or active follow-up. In low- and middle-income settings, this limits the ability of registries to inform quality improvement, population decision support, and efforts to reduce treatment abandonment.MethodsWe used a modified implementation mapping approach to optimize Ethiopia's pediatric hospital-based cancer registry across five pediatric cancer centers. Clinicians, data clerks, social workers, and implementation scientists jointly refined registry workflows and co-developed the Pediatric Oncology Summary Sheet-Treatment and Follow-up (POSSh-TF), a structured tool designed to capture treatment delivery, modifications, and longitudinal follow-up data beyond minimum WHO-IARC recommendations. Iterative workflow analyses were conducted to align documentation, data entry, and reporting processes with routine clinical care and priorities outlined in Ethiopia's National Cancer Control Plan.ResultsWe identified the following key gaps to registry implementation including (1) variability across sites in available resources, (2) workload barriers preventing completion at every patient visit, and (3) variability in proposed workflow options across institutions. In order to mitigate these barriers, we designed concrete implementation strategies including: (1) partnership with the non-profit organization The Aslan Project to support the initiative, (2) standardized pre-defined workflows and SOPs to facilitate longitudinal data capture, and (3) site-embedded registry personnel with targeted training to improve data collection.ConclusionsCollaborative optimization of pediatric oncology registries can extend their function beyond surveillance to support cancer control, quality monitoring, and patient-centered follow-up. The POSSh-TF and associated workflows provide a scalable model for leveraging registry data to strengthen continuity of care and population-level decision support in resource-constrained settings.