Jorge Che Enseñat

Este libro ofrece un análisis profundo y multidimensional de los sistemas de salud en América Latina, abordando sus avances, desigualdades estructurales, crisis recientes y oportunidades de transformación. A través de evidencia actualizada y una mirada crítica, propone caminos viables hacia sistemas más equitativos, resilientes y sostenibles, con la cobertura universal como horizonte. Dirigido a tomadores de decisiones, académicos, profesionales de la salud y estudiantes, constituye una herramienta clave para comprender los desafíos del presente y diseñar estrategias efectivas para el futuro de la salud en la región.

Didactic innovation is established as a key component in the transformation of contemporary educational systems, particularly in contexts characterised by rapid social, technological, and cultural changes. In this scenario, teacher education faces the challenge of moving beyond traditional teaching approaches to incorporate pedagogical strategies centred on the learner and aimed at developing meaningful learning. Meaningful learning becomes especially relevant as it facilitates the integration of new knowledge with prior understanding, promoting deep comprehension and the transfer of learning to diverse educational contexts. The study focuses on the systematic analysis of didactic innovation strategies associated with the enhancement of meaningful learning in teacher education. To this end, a descriptive and analytical design is adopted, based on the analysis of academic publications and following the guidelines of the PRISMA method. The findings indicate that didactic innovation, conceived as an intentional and reflective process, directs pedagogical practices towards models focused on comprehension, active participation, and the improvement of educational quality.

Population health is undergoing a significant transition characterized by the interaction of emerging risks, structural inequalities, and evolving public health responses. This review analyzes recent evidence (2020 onward) to explore how contemporary health systems are adapting to complex and interconnected challenges, including pandemics, climate change, globalization, and the dual burden of communicable and non-communicable diseases. A structured narrative review with a systematic approach was conducted, integrating high-impact studies to identify key patterns and determinants influencing population health outcomes. The findings reveal that health inequalities remain a central driver of vulnerability, while governance capacity, environmental pressures, and technological advancements play critical roles in shaping system responsiveness. Adaptive public health models—defined by flexibility, data-driven decision-making, intersectoral coordination, and community engagement—emerge as essential frameworks for improving resilience and equity. Evidence from Mexico, Colombia, and Ecuador highlights the importance of context-specific strategies within shared regional challenges. Overall, the study emphasizes the need for integrated, adaptive, and system-oriented approaches to effectively address the complexity of modern population health and to strengthen public health systems in a rapidly changing global environment.

Imaging-guided strategies have become a fundamental component of emergency medicine, significantly influencing diagnostic accuracy, clinical decision-making, and patient outcomes in critical care settings. This review analyzes the role of key imaging modalities, including point-of-care ultrasonography (POCUS), computed tomography (CT), and artificial intelligence (AI)-assisted tools, in the rapid evaluation and management of acute conditions. A structured analysis of recent high-impact literature (2020 onward) was conducted to identify patterns in imaging utilization, diagnostic performance, workflow efficiency, and clinical impact. The findings demonstrate that CT remains the gold standard for definitive diagnosis in high-risk scenarios, while POCUS provides rapid bedside assessment that facilitates early intervention. AI integration contributes to improved workflow efficiency, triage prioritization, and reduction in reporting times. However, challenges such as imaging overutilization and variability in resource availability persist, highlighting the need for evidence-based protocols and optimized decision-making frameworks. The integration of multimodal imaging approaches, adapted to diverse healthcare systems, is essential to enhance diagnostic precision and improve patient outcomes. These results support the concept that imaging is a strategic and dynamic element in emergency medicine, with a critical role in the evolution of modern critical care.

The growing convergence between neurology and psychiatry has led to the emergence of the brain–mind continuum as a unifying framework for understanding disorders affecting cognition, behavior, and neurological function. This review aims to analyze and synthesize recent high-impact evidence on the integration of neurological and psychiatric perspectives in modern clinical practice, including implications for general surgery and hospital-based care. A structured narrative review was conducted using 20 peer-reviewed articles published from 2020 onward, selected from major scientific databases and journals. The analysis focused on shared neurobiological mechanisms, overlapping clinical manifestations, perioperative implications, and international applicability, particularly in healthcare systems such as those of Mexico, Colombia, and Ecuador. The results demonstrate that neural circuitry dysfunction, genetic factors, and neuroinflammatory processes constitute common pathways across a wide range of conditions. Additionally, significant overlap was identified in clinical presentations, including mood, cognitive, and behavioral disturbances. Emerging approaches such as neuroimaging, computational psychiatry, biomarkers, and precision medicine further support an integrative model of care. The findings highlight the limitations of traditional categorical classifications and emphasize the need for interdisciplinary diagnostic and therapeutic strategies. In conclusion, the brain–mind continuum represents a clinically relevant and scientifically supported framework that enhances patient care, promotes interdisciplinary collaboration, and provides a foundation for future research and medical education.

Modern orthopedic care has evolved beyond traditional structural approaches, incorporating a multidimensional framework that integrates biomechanics, biological processes, and technological innovation. This review aims to analyze the interaction between these three domains and their impact on clinical outcomes in musculoskeletal disorders. A structured narrative review was conducted using high-impact literature published from 2020 onward, focusing on studies related to biomechanical optimization, tissue regeneration, and emerging technologies such as artificial intelligence, robotics, and advanced biomaterials. The findings demonstrate that biomechanics remains fundamental for ensuring stability and functional load distribution, while biological processes play a critical role in tissue healing and regeneration. Simultaneously, innovation enhances precision, personalization, and efficiency in orthopedic interventions. The integration of these domains supports a comprehensive model of care that prioritizes functional recovery and patient-centered outcomes. This approach is particularly relevant in diverse healthcare settings, where balancing technological advancement with accessibility is essential. In conclusion, the convergence of biomechanics, biology, and innovation represents a paradigm shift in orthopedics, offering a cohesive framework to improve clinical practice and patient outcomes globally.

Precision in high-risk surgical fields has evolved into a multidimensional paradigm that integrates technological innovation, advanced surgical techniques, and structured perioperative care. This review analyzes the translational principles shared between general surgery, neurosurgery, and minimally invasive approaches, with the aim of understanding how these elements interact to improve surgical outcomes. A structured integrative review was conducted using high-impact literature published from 2020 onward, focusing on key domains such as artificial intelligence, intraoperative monitoring, advanced visualization, laparoscopic and robotic surgery, and Enhanced Recovery After Surgery (ERAS) protocols. The findings demonstrate that precision in surgery is not determined by a single factor, but by the coordinated interaction of multiple components. Minimally invasive techniques serve as the structural foundation, while visualization technologies and intraoperative monitoring enhance real-time decision-making and safety. Artificial intelligence contributes to the standardization and support of surgical cognition, and perioperative protocols optimize recovery and reduce complications. Together, these elements form an integrated system that extends beyond the operating room and encompasses the entire surgical process. The review also highlights the adaptability of these principles across diverse healthcare settings, including regions such as Mexico, Colombia, and Ecuador, where variability in resources requires context-sensitive implementation. Ultimately, precision surgery is defined as a system-based approach that aligns technique, technology, and perioperative care to achieve optimal patient outcomes. This framework has important implications for clinical practice, surgical education, and future research.

Refractory neuropathic pain remains one of the most challenging conditions in neurosurgical and pain medicine practice. Defined as pain arising from a lesion or disease of the somatosensory system, it frequently persists despite optimized pharmacological management and significantly impairs quality of life. This review analyzes current evidence on neuromodulation and selected surgical strategies for refractory neuropathic pain, integrating diagnostic frameworks, mechanistic insights, technological evolution, and long-term clinical outcomes. Spinal cord stimulation (SCS) emerges as the most extensively validated modality, supported by comparative trials in failed back surgery syndrome and reinforced by durability data. Advances such as burst stimulation, high-frequency (10 kHz) paradigms, and dorsal root ganglion targeting reflect a shift toward phenotype-driven and precision neuromodulation. Peripheral nerve stimulation and intracranial techniques, including motor cortex stimulation and deep brain stimulation, maintain defined roles in focal and central pain syndromes. Mechanism-based surgical interventions, exemplified by trigeminal neuralgia treatment, remain essential when structural pathology is identified. Across modalities, standardized patient selection, consensus-based appropriateness criteria, and structured follow-up are critical determinants of sustained benefit and safety. Contemporary management of refractory neuropathic pain is therefore best understood as a mechanism-guided, network-oriented, and internationally adaptable therapeutic continuum.

Medical education is undergoing a structural transformation driven by the need to align professional training with evolving health system demands. This study analyzes the integration of transformational leadership, academic innovation, and competency-based medical education (CBME) within an international comparative framework involving Mexico, Colombia, and Ecuador. Using a structured analytical approach grounded in leadership theory, CBME frameworks, and global quality standards, the study examines implementation maturity, assessment practices, innovation adoption, and their interrelationships at the institutional level. The results demonstrate differentiated levels of CBME maturity across national contexts and reveal a consistent positive association between transformational leadership profiles and CBME implementation strength. Academic innovation adoption also parallels maturity patterns, suggesting that structured innovation mechanisms contribute to the operationalization of competency frameworks. An interaction analysis indicates that the highest maturity levels occur when leadership capacity and innovation adoption are jointly elevated. These findings support the conceptualization of CBME as a systemic reform requiring coordinated governance, assessment modernization, and leadership development. The integration of transformational leadership and academic innovation emerges as a strategic pathway for strengthening medical education quality and alignment with international accreditation standards.

Mental health disorders represent a leading cause of disability worldwide and require integrative frameworks that transcend traditional single-domain explanations. This review analyzes the neurobiological, social, and digital dimensions of psychiatric disorders through a structured synthesis of international literature. Neurobiological evidence highlights circuit-level dysfunction, stress-mediated neuroplasticity, inflammatory pathways, and gut–brain interactions as core vulnerability mechanisms. Social epidemiology research demonstrates that income gradients, structural inequality, and hierarchical stress responses shape population-level distribution of mental morbidity. Concurrently, digital environments function as both intervention platforms and behavioral risk modifiers, with smartphone-based tools showing therapeutic potential while excessive screen exposure and maladaptive social media engagement correlate with adverse outcomes. The findings support a multidimensional systems-based model in which biological substrates, structural determinants, and technological ecosystems interact dynamically. This framework holds particular relevance for middle-income contexts, including Mexico, Colombia, and Ecuador, where rapid digitalization coexists with socioeconomic disparities. Integrating these domains strengthens clinical reasoning, psychiatric education, and public health strategy design, promoting a comprehensive and ethically guided approach to contemporary mental health care.