Pregrado Ingeniería de Sistemas
URI permanente para esta colecciónhttp://hdl.handle.net/11634/192
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Tipo de ítem: Ítem , Ciencia de datos e inteligencia artificial en la predicción de eventos cardiovasculares en pacientes hipertensos: una revisión integrativa de la literatura(Universidad Santo Tomás, 2026-07-10) Núñez Niño, Daniel Enrique; Suárez Rojas, Angie Lorena; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001829344Diseases of the cardiovascular system are the leading cause of mortality in the world. Arterial hypertension is the main cardiovascular risk factor that can be avoided. In reducing deaths from these diseases, the use of innovative technologies in this region is of great importance. This popular article emphasizes the data of the Tunja region, a municipality that has been considered the health area in data, and disease data of Tunja, and therefore, the forecasts of the use of Data Science and Artificial Intelligence in the analysis of the prediction of cardiovascular events in hypertensive patients are presented. The review of studies and literature that have been published in databases, and that currently generate great impact in the area of health technologies, has been systematic, and the studies have been critically analyzed, in the use of machine learning tools and neural networks. The application showed that models such as Random Forest, XGBoost, and cylindrical neural networks of long-term and short-term memory, presented more than 88% efficiency in the prediction of acute myocardial infarction, event v and/or cardiovascular death in hypertension companies. The incorporation of data science tools in open health systems provide awareness about prevention resources and reduce the essentials of medicine.Tipo de ítem: Ítem , Inteligencia Artificial Generativa: ética, sesgos y sostenibilidad(Universidad Santo Tomás, 2026-07-09) López González, Juan Felipe; Vergel Camacho, John Jairo; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033Background: Generative Artificial Intelligence (GAI) represents one of the most profound and accelerated technological transformations in recent decades. Systems such as GPT-4, Claude, Gemini, DALL-E, Midjourney, and Stable Diffusion have demonstrated unprecedented capabilities to redefine the boundaries between human and automated production. However, this disruption unfolds upon historical structures of inequality, power concentration, and informational asymmetries that GAI models absorb, reproduce, and amplify. Methodology: This research constitutes a systematic literature review of high-impact scientific literature, executed under the PRISMA 2020 protocol. The study analyzes 130 indexed academic sources published between 2016 and 2026, selected from an initial universe of 104,660 records across four international databases: IEEE Xplore, EBSCO Research, Scopus (Elsevier), and Web of Science (Clarivate). The investigation examines the influence of cognitive biases, training data quality, and environmental impact, with a sectoral emphasis on health and justice and a specific projection toward the Latin American context. Results: The study identified six primary categories of bias: representation, measurement, evaluation, implementation, LLM-specific, and historical-structural. In healthcare, evidence shows that models trained on electronic records often confuse differential access to care with actual clinical needs. In justice, seemingly neutral variables serve as proxies for race, reproducing discrimination under technical objectivity. Regarding mitigation, while techniques like data rebalancing, adversarial learning, and frameworks (NoBIAS, EU AI Act) exist, their effectiveness is moderate and involves significant trade-offs; improving intergroup equity often results in a decrease of up to 10 percentage points in global accuracy. Sustainability: "Green AI" strategies—such as model pruning, quantization, and knowledge distillation—can reduce energy consumption by 13% to 115%. However, only 23% of Green AI studies involve industrial partners, revealing a gap between technical knowledge and practical adoption. Conclusions: Ethical and sustainable GAI development requires simultaneous interventions: binding regulatory frameworks, independent audits, and algorithmic transparency. For Latin America and Colombia, the challenge lies in overcoming "algorithmic transport failure"—the dependence on models from the Global North that fail to capture local linguistic, cultural, and socioeconomic nuances. Reversing this vulnerability requires not only technical investment but the construction of a unique epistemic perspective that positions the region as an active subject in the contemporary technological order.Tipo de ítem: Ítem , Dashboard Interactivo para la Analítica y Visualización de Resultados Saber Pro en la USTA(Universidad Santo Tomás, 2026-07-06) Montes Patiño, Christian Alberto; Soler Gómez, David Gerónimo; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001343613; https://scholar.google.es/citations?user=31nUOG8AAAAJ&hl=esThe relevance of this project is based on the urgent need of the Quality Assurance Department at Santo Tomás University to optimize strategic decision-making by moving from a manual, decentralized, and error-prone handling of microdata from the Saber Pro tests to a centralized and automated institutional analytics system. Implementing this solution is justified as it reduces current operational rework and, at the same time, is expected to have a significant medium- and long-term impact on university management; on one hand, it will give deans and curriculum committees a handy tool to identify gaps in generic competencies and design timely pedagogical improvement plans before official audits, and on the other, it will set up a standardized and scalable data infrastructure that will serve as the methodological basis for future predictive analytics studies and measurement of added value through relational cross-referencing with historical Saber 11 databases. The execution of this project is essential to modernize the mechanisms of academic auditing at Universidad Santo Tomás, moving from a static data scheme toward a culture of institutional analytics. Meeting the main objectives will make it possible to deliver concrete solutions and tools that democratize access to information, allowing deans and researchers to explore multidimensional indicators in real time to design effective teaching strategies and support high-quality accreditation processes.Tipo de ítem: Ítem , Gestión del Conocimiento en Proyectos Tecnológicos Ágiles en Sistemas GyG S.A.(Universidad Santo Tomás, 2026-07-10) Márquez Camargo, Jorge Alberto; Guío Ávila, Henry Alfonso; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001519211; https://scholar.google.com/citations?user=gqWnDVQAAAAJ&hl=es; https://orcid.org/0000-0003-1343-4302This internship at Sistemas GyG S.A. aims to solve a real problem the company faces: when they want to try out new technologies or features for their financial system SIIF, they don’t have a clear and quick way to validate if those ideas will actually work before investing time and money to develop them fully. This means that sometimes they go ahead with projects that later don’t meet expectations, causing wasted resources and delays. My job will be to create prototypes and quick tests that let us know from the start whether a technology is worth it or not, as well as set up clear testing processes to make sure whatever is developed works well from the beginning. I’ll also document everything we learn in each project so that knowledge isn’t lost when people change roles or leave the company, but is available to everyone. The impact of this work will be tangible both for the company and for the sector. GyG Systems will be able to have a clearer analysis of which technologies to evaluate or adopt in the development of new features, which will contribute to more informed decision-making aligned with the needs of the main product. This is important because competition in the financial sector is growing, especially with the arrival of tech startups that quickly adapt to market changes. By documenting processes and results in an organized manner, the company will also be able to build a knowledge base that team members can easily reference, allowing them to learn from previous experiences and continuously improve development practices. For Boyacá and Colombia, this kind of initiative helps strengthen national companies competing in the tech sector, promoting talent development and innovation in the region.Tipo de ítem: Ítem , Simulación de Gemelos Digitales para el Control de Calidad del Aire en Espacios Públicos(Universidad Santo Tomás, 2026-07-22) Salamanca Rodríguez, Fabian Camilo; Contreras Ortiz, Martha Susana; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000901571; https://scholar.google.com.co/citations?user=L45gJqUAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-7715-6420The focus of this article is on showing how air quality simulations based on Digital Twins, integrating low-cost simulation technologies like Wokwi and Microsoft Azure's cloud infrastructure, can predict and visualize pollution levels in critical public spaces, such as hospital settings and urban parks. The proposed approach is based on the design of the Internet of Things (IoT), where the Wokwi simulator mimics the behavior of ESP32 microcontrollers paired with particle and gas sensors, while Microsoft Azure serves as the central ecosystem for processing, storing, and analyzing the data collected through Azure IoT Hub and Azure Digital Twins. The most significant conclusion reached shows that precise two-way synchronization is achieved between the virtual simulation environment and the digital model in the cloud Corporates make it easier to design urban mitigation strategies without having to spend on expensive physical hardware during early validation stages. The proposed application is a scalable, replicable, and highly efficient way to plan smart cities with environmental sustainability and public health in mind, using high-fidelity synthetic data to maximize tech decision-making.Tipo de ítem: Ítem , Módulo web para la gestión de sistemas de información, programación de backups y reportes de mantenimiento del Hospital Universitario San Rafael de Tunja(Universidad Santo Tomás, 2026-07-15) Sanchez Marquez, Santiago; Piracoca Arcos, John Alexis; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002450348This internship thesis describes the development and implementation of a web module for the San Rafael University Hospital of Tunja (HUSRT), integrated into the existing HUSRT-Biomédica system. The main objective was to centralize and automate the management of information systems, backup scheduling, and maintenance reports to address the operational gaps identified in the Information Technology Department (ITD). Problem: The hospital lacked a unified system inventory; backups were managed manually without a visible calendar or alerts; access control was insufficient; and the service desk was not integrated with the equipment inventory. Developed Solution: A module was built featuring: Information systems parameterization (CRUD with Angular, Express, and MariaDB). Automated backup scheduling with 7 configurable frequencies (daily, weekly, biweekly, monthly, quarterly, semi-annually, annual) and automatic yearly occurrence generation. Interactive visual calendar with color coding by status (Scheduled, Completed, Not Done, Failed), tooltips, management modals, and Excel export. Reactive alerts via a bell with badge and overlay panel, with auto-regeneration of the next backup upon completion. Granular access control based on role and assigned systems, including the new SYSTEMUSER role. Service Desk integration with the equipment inventory, allowing cases to be linked to equipment and generating structured maintenance reports upon case closure. Methodology: An agile approach was used with 27 epics and 69 user stories, validated by the company tutor. Technologies included Angular 17 (standalone), Node.js + Express, Sequelize (ORM), and MariaDB, with PrimeNG for the UI and JWT for authentication. Results: The module was approved and deployed to production, reducing backup monitoring time from several hours per week to less than 30 minutes daily, eliminating forgotten backups, improving information security (aligned with Colombian Law 1581 of 2012), and providing complete traceability of equipment maintenance.Tipo de ítem: Ítem , Sistema de seguimiento a graduados multifacultad para la Universidad Santo Tomás Seccional Tunja(Universidad Santo Tomás, 2026-07-10) Molano Cubillos, Richard Eduardo; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033The code was refactored to scale the graduate management system of the School of Systems Engineering—originally designed for a single faculty—to a multi-faculty environment at Santo Tomás University (Tunja Branch). This involved structuring the data model and adopting a modular architecture to improve software traceability and maintainability, while retaining the original Angular and NestJS frameworks and implementing Dockerization to facilitate deployment. Additionally, the interfaces were refactored, and a corresponding database architecture was proposed, alongside the implementation of the interfaces and logic required to achieve the desired scalability.Tipo de ítem: Ítem , Ética de la inteligencia artificial, marcos globales y sus limitaciones(Universidad Santo Tomás, 2026-07-10) Cuervo Martinez, Duban Fernando; Soler Galindo, Harrizon Alexander; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002351384; https://orcid.org/0009-0002-6422-8429International governance is undergoing an extraordinary shift as large language models (LLMs) transition from simple theoretical concepts to crucial geopolitical and regulatory players. At present, a small group of dominant corporations leads the global rollout, highlighting the shortcomings of current regulatory systems in addressing underlying ethical concerns. Utilizing a systematic literature review under the PRISMA protocol, this study provides a critical examination of how dominant firms OpenAI, Anthropic, Meta, Google, and Microsoft manage transparency, internal governance, and corporate accountability within their commercial systems. Data collection spanned the specialized Scopus and IEEE Xplore databases across eight structured search strategies; after screening 959 initial records, a definitive corpus of 69 articles published between 2017 and 2026 was curated. The primary findings expose a profound disconnect between corporate ethical rhetoric and actual operational practices. Moreover, ambitious legal initiatives such as the European Union AI Act exhibit structural blind spots when attempting to oversee models that are inherently opaque and probabilistic. A critical bias also emerges in current literature: the systematic marginalization of the Global South, a deeply concerning trend given the swift, unmonitored integration of these tools across Latin America. This paper concludes with actionable recommendations to anchor corporate ethics firmly within LLM development, tailoring the analysis to the distinct regulatory landscapes of Colombia and the broader region.Tipo de ítem: Ítem , USTA Gallery: Plataforma web para gestión y exhibición del semillero de artes(Universidad Santo Tomás, 2026-07-08) Cardozo Diaz, Oscar Javier; Castro Barinas, Manuel Leonardo de Jesús; Universidad Santo Tomás; 0009-0003-1767-6517USTA Gallery is a web platform developed as a undergraduate thesis project by Oscar Javier Cardozo Díaz at Universidad Santo Tomás, Tunja campus, under the supervision of Ing. Manuel Leonardo Castro Barinas. The problem: the university's arts semillero lacked a digital channel. Artwork was only visible at in-person exhibitions, with no participation records or data to justify the group's continuity before university authorities. The solution: a full-stack platform with a NestJS/Bun backend, PostgreSQL database managed with Prisma ORM (21 tables), and a React 19 frontend with TypeScript and Tailwind CSS. The entire system runs on Docker Compose over a Linux virtual machine provided by the university's TIC group, accessible at gallery.santototunja.edu.co. The system features three roles — student, teacher and administrator — JWT authentication stored in an HttpOnly cookie, and email verification via OTP. It includes 10 functional modules: artwork management with a PENDING → APPROVED / REJECTED workflow, a public gallery, cultural event management with a group invitation system, and a real-time class attendance module added as a scope extension beyond the original objectives. Testing was conducted in two layers: 95 unit tests with Jest at 100% pass rate, and 125 integration requests with Newman covering 9 modules. Result: all 4 specific objectives met and the platform fully operational in production. Main limitation: the semillero was inactive during development. Future work includes multi-tenancy support, WebSockets notifications, and an institutional analytics module.Tipo de ítem: Ítem , Inteligencia Artificial Generativa: Ética, Sesgos y Sostenibilidad(Universidad Santo Tomás, 2026-07-09) Vergel Camacho, John Jairo; López González, Juan Felipe; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033Background: Generative Artificial Intelligence (GAI) represents one of the most profound and accelerated technological transformations in recent decades. Systems such as GPT-4, Claude, Gemini, DALL-E, Midjourney, and Stable Diffusion have demonstrated unprecedented capabilities to redefine the boundaries between human and automated production. However, this disruption unfolds upon historical structures of inequality, power concentration, and informational asymmetries that GAI models absorb, reproduce, and amplify. Methodology: This research constitutes a systematic literature review of high-impact scientific literature, executed under the PRISMA 2020 protocol. The study analyzes 130 indexed academic sources published between 2016 and 2026, selected from an initial universe of 104,660 records across four international databases: IEEE Xplore, EBSCO Research, Scopus (Elsevier), and Web of Science (Clarivate). The investigation examines the influence of cognitive biases, training data quality, and environmental impact, with a sectoral emphasis on health and justice and a specific projection toward the Latin American context. Results: The study identified six primary categories of bias: representation, measurement, evaluation, implementation, LLM-specific, and historical-structural. In healthcare, evidence shows that models trained on electronic records often confuse differential access to care with actual clinical needs. In justice, seemingly neutral variables serve as proxies for race, reproducing discrimination under technical objectivity. Regarding mitigation, while techniques like data rebalancing, adversarial learning, and frameworks (NoBIAS, EU AI Act) exist, their effectiveness is moderate and involves significant trade-offs; improving intergroup equity often results in a decrease of up to 10 percentage points in global accuracy. Sustainability: "Green AI" strategies—such as model pruning, quantization, and knowledge distillation—can reduce energy consumption by 13% to 115%. However, only 23% of Green AI studies involve industrial partners, revealing a gap between technical knowledge and practical adoption. Conclusions: Ethical and sustainable GAI development requires simultaneous interventions: binding regulatory frameworks, independent audits, and algorithmic transparency. For Latin America and Colombia, the challenge lies in overcoming "algorithmic transport failure"—the dependence on models from the Global North that fail to capture local linguistic, cultural, and socioeconomic nuances. Reversing this vulnerability requires not only technical investment but the construction of a unique epistemic perspective that positions the region as an active subject in the contemporary technological order.Tipo de ítem: Ítem , Módulo de gestión y control de equipos del área de sistemas para el Hospital Universitario San Rafael de Tunja(Universidad Santo Tomás, 2026-07-09) Ramirez Mancilla, Juan Miguel; Piracoca Arcos, Jhon Alexis; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002450348Hospital Universitario San Rafael de Tunja relied on an information system for recording and tracking its technology assets that, as the hospital's infrastructure grew, revealed significant functional limitations: it lacked role-based access control, provided no way to schedule preventive maintenance, offered no traceability of changes made to each device, and failed to produce consolidated reports for decision-making. This internship aimed to improve the hospital's HRCATCH system by developing a technology asset management module, applying the Scrum agile methodology, in order to centralize inventory administration and support the IT department's operational decisions. The development was carried out in four phases: analysis of existing processes and requirements through meetings with IT staff; design of a three-layer architecture consisting of an Angular 19 frontend, a Node.js/Express REST API, and a MariaDB database managed with Sequelize; development of the functional modules for inventory, equipment lifecycle, preventive maintenance, and role-based access control differentiated by user profile (AdminSistemas, TécnicoSistemas, and UsuarioSistemas); and validation of the system through functional testing against the specified requirements. The result was a functional module that centralizes technology inventory management, automates preventive maintenance scheduling, generates Excel and PDF reports, and incorporates a technological obsolescence index calculated from four weighted variables (equipment age, manufacturer support validity, frequency of corrective maintenance, and parts availability), replacing the previous subjective criteria with a process grounded in verifiable data. The project demonstrates that rigorous application of software engineering principles, combined with proper institutional requirements gathering, can produce technology tools of concrete, measurable value for the healthcare sector.Tipo de ítem: Ítem , Desafíos éticos y normativos de la Autenticación biométrica con Inteligencia Artificial(Universidad Santo Tomás, 2026-07-10) Villanueva Arias, Juan Felipe; Contreras Ortiz, Martha Susana; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000901571; https://scholar.google.com/citations?user=fxmDbqoAAAAJ&hl=enThe main issue addressed is the growing vulnerabilities of biometric authentication systems in the face of emerging capabilities in artificial intelligence, which in turn creates unprecedented ethical and regulatory challenges that compromise the integrity, privacy, and trust in these security systems.Tipo de ítem: Ítem , Integración en InvuPos con Ecosistemas Externos: Contabilidad, Delivery y Gestión de Personal(Universidad Santo Tomás, 2026-07-07) Blanco Sandoval, Jesus Esteban; Piracoca Arcos, Jhon Alexis; Contreras Ortiz, Martha Susana; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002450348; https://scholar.google.com/citations?hl=en&user=04JqgRoAAAAJ; https://orcid.org/0009-0001-9382-1451This document presents an internship project focused on building a backend integration ecosystem between INVU POS and external delivery and accounting platforms, specifically Rappi, PedidosYa, Siigo, and QuickBooks. The project covered requirements gathering, architecture design, implementation of functional modules, and integration testing, with the goal of automating processes, improving system interoperability, and strengthening operational efficiency. As a result, the project delivered solutions capable of synchronizing menu, order, and accounting information, providing technical and operational value to the platform.Tipo de ítem: Ítem , Repositorio Digital de Trabajos de Grado para la Facultad de Ingeniería de Sistemas de la Universidad Santo Tomás - Seccional Tunja(Universidad Santo Tomás, 2025-07-08) Pineda Molano, Cristian David; Cabrera Suarez, Juan Andres; Mendoza Moreno, Juan Francisco; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001323946; https://scholar.google.com/citations?user=xcynC84AAAAJ&hl=es; https://orcid.org/0000-0003-1480-0845This project developed a digital repository for managing undergraduate thesis projects at the Faculty of Systems Engineering of the Santo Tomás University, Tunja Branch, with the purpose of centralizing, organizing, and preserving the faculty's academic output. The solution was proposed in response to the lack of an institutional platform capable of efficiently storing, managing, and providing access to thesis projects and their associated products, a situation that hindered information retrieval and the long-term preservation of academic knowledge. The system was developed using the Prototyping methodology, allowing functional and non-functional requirements to be validated iteratively with the participation of end users. The application was designed following a layered client-server architecture and implemented as a web-based platform with a REST API. It incorporates features such as role-based authentication and authorization, thesis management, academic catalog administration, attachment management, advanced search capabilities, statistical reporting, and integration with cloud storage services. As a result, a functional, scalable, and secure platform was developed to optimize the document management of undergraduate thesis projects, facilitate access for students, faculty members, and researchers, and strengthen the preservation and visibility of the institution's academic production. Software quality was assessed using SonarQube, achieving satisfactory results in maintainability, reliability, and security, thereby demonstrating the fulfillment of the project's objectives and the feasibility of the proposed solution as a tool to support the faculty's academic and research processes.Tipo de ítem: Ítem , Módulos de sistemas web para la gestión de Procesos en el Hospital Universitario San Rafael de Tunja(Universidad Santo Tomás, 2026-07-06) Ramírez Muñoz, Daniel Estiven; Piracoca Arcos, Jhon Alexis; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0002450348This report documents the business internship carried out by Daniel Estiven Ramírez Muñoz at the Hospital Universitario San Rafael de Tunja, a high-complexity healthcare institution that faced deficiencies in the management of technological processes within its IT department, particularly the lack of formal control over the spare-parts inventory used for equipment maintenance. In response to this problem, two modules were designed and developed to extend the institutional system HRCATCH 2.0: the Spare Parts Management Module and the Systems Indicators Module. The work was carried out under the SCRUM agile methodology, organized into four sprints over fourteen weeks, and implemented an MVC architecture with Angular on the frontend, Node.js/Express.js on the backend, and MariaDB as the database engine, using Sequelize as the ORM. The spare-parts module centralized the inventory catalog, automated stock deduction, generated minimum-stock alerts, and recorded an immutable audit trail of every operation, while the indicators module provided an interactive dashboard with KPIs for monitoring maintenance performance. The development was validated through functional, integration (22 automated tests using Jest and Supertest), and acceptance testing with the IT department, obtaining stakeholder approval. The results show improved information traceability, the elimination of manual spreadsheet-based control, and the consolidation of a scalable technological foundation for the continuity of the hospital's technological services.Tipo de ítem: Ítem , Inteligencia artificial, Machine Learning y Deep Learning en la medicina Fetal(Universidad Santo Tomás, 2026-07-10) Aguilar Chinome, Pablo Aguilar; Contreras Ortiz, Martha Susana; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000901571; https://scholar.google.com.co/citations?user=L45gJqUAAAAJ&hl=es&oi=ao; https://orcid.org/0000-0002-7715-6420Traditional fetal medicine faces significant challenges due to observer variability and the operational burden of ultrasound diagnosis, prompting the search for advanced technological solutions. The aim of this study is to evaluate the scientific evidence on the effectiveness of artificial intelligence (AI) in prenatal diagnosis, risk prediction, and the identification of ethical and legal challenges. To this end, a systematic review was conducted under the PRISMA protocol, selecting 50 original articles from PubMed and SciELO after screening 12,000 initial records. The most relevant results show that deep learning architectures, such as convolutional neural networks, achieve up to 98.5% accuracy in classifying anatomical planes and surpass human performance in detecting cardiac and central nervous system anomalies. Furthermore, it is evident that AI reduces scan time by 42%, optimizing clinical efficiency. It is concluded that while AI transforms the paradigm towards proactive prevention and democratizes access to high-quality diagnoses, its implementation requires robust regulatory frameworks that mitigate algorithmic bias and define legal responsibilities, reaffirming its role as a complementary tool to human medical judgment.Tipo de ítem: Ítem , Módulo de Convenios y Modernización de Micrositios del Portal Web Institucional USTA Tunja(Universidad Santo Tomás, 2026-07-09) Cuervo Pulido, Laura Alejandra; Vela Beltran, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033Santo Tomás University, Colombia's first private university, has established itself as a higher education institution with a strong national and international presence. Its Tunja branch has advanced various initiatives focused on quality accreditation, academic mobility, and inter-institutional cooperation. Within this framework, the Communications Department plays a vital role by coordinating information dissemination, strengthening institutional identity, and highlighting benefits for the university community. Currently, the Tunja branch maintains numerous national and international agreements with educational institutions, welfare agencies, and partner organizations; these partnerships provide students, faculty, and administrative staff with access to benefits such as discounts, internships, international mobility opportunities, and well-being programs. However, information regarding these discounts is fragmented and scattered across multiple sources—including Excel spreadsheets, internal documents, official announcements, and emails. This situation complicates the process of looking up, updating, and utilizing these agreements, thereby reducing the effectiveness of their promotion. Consequently, the Communications Department has identified the need to launch a website featuring microsites for the various agreements, enabling the efficient management, organization, and visibility of information while ensuring that the university community has clear, quick, and up-to-date access to institutional benefits.Tipo de ítem: Ítem , Modernización del portal web universitario para la centralización de información académico-administrativa de la USTA Tunja(Universidad Santo Tomás, 2026-07-08) Moreno Ramírez, Lorena Alejandra; Reyes Cardenas, Eliana Yesmid; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033This report presents the business internship carried out at the Communications Department of the Santo Tomás University, Tunja Branch, aimed at modernizing the institutional website through the implementation of new web pages, content reorganization, and improvements to the user experience. The project was developed using WordPress, Elementor, CSS, and JavaScript, while the activities were managed following the KANBAN methodology. As a result, 82 web pages and institutional microsites were developed and implemented, information was centralized according to different user profiles, and two rounds of usability testing involving 35 participants were conducted. The findings from these evaluations enabled improvements in website navigation and accessibility. Overall, the project strengthened the University's digital presence and enhanced access to institutional information and services for the entire academic community.Tipo de ítem: Ítem , Metodologías Ágiles en Proyectos Transversales de Retail y Tecnología: Análisis y Buenas Prácticas(Universidad Santo Tomás, 2026-04-06) Monroy Álvarez, Brayan Alejandro; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=es; https://orcid.org/0009-0003-1809-4033This monograph analyzes the implementation of agile methodologies in cross departmental projects within organizations of different levels of maturity, ranging from consolidated corporations to emerging ventures. Based on the author’s professional experience in three contrasting business contexts—a highly structured multinational company, a developing enterprise with weak organizational processes, and his own entrepreneurial project, Mente Sana Psicología—the study identifies key factors that enhance or hinder effective project management. Findings indicate that in consolidated environments, agile frameworks such as ScrumBan and Scrum achieve successful implementation due to clear structures, well-defined roles, and a mature organizational culture. In contrast, emerging organizations face challenges such as lack of documentation, limited standardization, and inconsistent communication. Finally, within Mente Sana Psicología, best practices learned from prior experiences were integrated through a flexible combination of Scrum, Kanban, and Agile, resulting in a strong, people-centered organizational culture focused on continuous improvement and operational efficiency. The results highlight that continuous training, centralized communication, process documentation, and patience are critical elements for successful agile implementation. The study concludes that effective project management requires a contextualized approach that balances structure, flexibility, and human engagement to achieve sustainable outcomes.Tipo de ítem: Ítem , Pajareo Colombia: plataforma web con Keycloak, módulo de usuarios y multimedia(Universidad Santo Tomás, 2026-03-24) Rangel Manrique, Julian Santiago; Vela Beltrán, Diego Alejandro; Universidad Santo Tomás; https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001977029; https://scholar.google.com/citations?user=o-A8ASAAAAAJ&hl=esThis internship report presents the design, development, and implementation of the Pajareo Colombia web platform at EnLinea.App S.A.S., aimed at improving the management of bird sighting records and their multimedia evidence. The project emerged from the need to address fragmented information flows, limited traceability, manual moderation processes, and the lack of a secure and scalable infrastructure for handling users, files, and related data. As a solution, a system was developed using Java 17, Spring Boot, and PostgreSQL under a hexagonal architecture approach, complemented by authentication and authorization mechanisms based on Keycloak and an independent microservice for processing and storing images, audio, and video files. In addition, technologies such as Angular, PrimeNG, AWS EC2, AWS S3, Proxmox VE, Tailscale, and OpenProject were integrated to support both the technical infrastructure and project management activities. The results demonstrate compliance with objectives related to security, maintainability, documentation, and performance, including documented APIs, protected endpoints, efficient multimedia processing, and a reusable user management module for future software projects. The internship also contributed significantly to the strengthening of professional skills in software architecture, service integration, infrastructure deployment, and technical documentation.