Conference Agenda

The present study sought to find the impact of the use of a chatbot on the education and monitoring of patients with type one diabetes. This investigation used a quantitative approach, applied research and explanatory level of pre-experimental design. The sample consisted of thirty-three parents of patients using a Diabetes Care Measurement Questionnaire (DSMQ-R) confirmed by experts and obtaining a high reliability of 0.8; the aspects evaluated were about education in the essential care of diabetes self-management. The result was a p value of 0.000 less than 0.05 with the Wilcoxon test, also showing an increase of 9.1% in the variable education and monitoring in patients, which concluded that the use of the chatbot system had a significant impact on patient education.

The article highlights the increasing global prevalence of Borderline Personality Disorder (Borderline) in mental health, focusing on the specific situation in the region of Lambayeque, Perú, and notes the scarcity of specialized centers. In addition, research on emotional architecture is addressed, exploring the capacity of architectural design to impact emotions in physical environments. The methodology used to evaluate the theory of Emotional Architecture design criteria involves the analysis of meanings, conceptualization through representative graphics, and the derivation of specific theories from previous research. The design criteria, comprising the use of neutral colors, the arrangement of free spaces, and the manipulation of light and shadow, have been evaluated according to two guidelines, both of which yielded highly positive results, reinforcing the validity of the research, which aims to provide carefully considered models for improving environments for health.

The disinfection of medical equipment became a highly demanded task following the 2020 pandemic due to the rapid spread of SARS-CoV-2. Various companies implemented rudimentary models of disinfection cabins and manual temperature monitoring for customers, accompanied by the abundant use of 70% medicinal alcohol. However, challenges arose, such as accidental application to the eyes causing irritation. With the wave of infections, many clinics experienced a high influx of patients, leaving them overwhelmed and exposed to contracting other pathogens in the environment.

In response to this problem and the surge in infections, this thesis aims to design an automated cabin for pathogen elimination in clinical environments, specifically targeting clinical equipment in direct contact with patients and medical staff. To achieve automation, a process control program was required; Logosoft was chosen for its ease of use, compactness, and ability to display failure alerts on its built-in screen.

The methodology used is quantitative-experimental in nature, given its trial-and-error approach to find efficient values that optimize the disinfection system. The results obtained are positive, demonstrating improvements in disinfection processes, with the only variation being the adjustment of the solution’s concentration. However, the project seeks to integrate these independent processes to achieve better results with safer quantities and shorter processing times.

From this study, it can be concluded that although the disinfection process is not entirely comprehensive, it can achieve results very close to those of a full sterilization process.

Abstract– In the hospital context, proper waste management is crucial to minimize risks of exposure to infectious agents, ensure biosecurity and comply with health regulations. Traditional methods of waste collection and disposal, such as manual bins, present significant limitations in terms of hygiene, efficiency and ability to prevent contact with contaminated materials. This project proposes the design of an automated waste container, developed with recycled materials, incorporating a proximity sensor for automatic opening and an acoustic alert system using a buzzer, activated by an ultrasonic sensor when reaching maximum capacity. The general objective is to evaluate the impact of this system in improving biosecurity and operational efficiency compared to traditional methods. Specifically, the aim is to: design the automated prototype, analyze its operational performance and evaluate its effectiveness in reducing risks for staff and patients. The methodology adopted is pre-experimental in nature, with a focus on the construction, programming and functional testing of the prototype. The materials include recycled acrylic, an Arduino, sensors (proximity and ultrasonic), a servomotor and a buzzer. Controlled tests were conducted to measure the accuracy of the sensors, the response time of the servomotor, and the effectiveness of the alert system. The results showed that the automated bin significantly improved hygiene by eliminating the need for physical contact, reduced waste collection times, and provided timely alerts for bag changes. Compared to traditional methods, this system showed a notable decrease in the risk of exposure to infectious agents.

Keywords- bin, automated, sensor, hospitals

This study addresses the design of an ergonomic bassinet, named WAWA, aimed at preventing Sudden Infant Death Syndrome (SIDS) and plagiocephaly in infants aged 0 to 3 months. This design seeks to ensure a safe sleeping position (on the back) by reducing the risks of suffocation and falls through a portable and compact structure. The research identifies the central problem as the high neonatal mortality caused by improper sleeping positions and proposes solutions through industrial design focused on child safety. The study is based on user analysis, ergonomic testing, and consultations with experts, integrating lightweight materials such as cotton and high-density foam to maximize the baby’s safety and comfort. With this approach, the goal is not only to reduce risks but also to contribute to the well-being of first-time mothers by providing them with greater peace of mind in caring for their children.

Building Information Modeling (BIM) has emerged as a pivotal methodology in the design, construction, and management of healthcare facilities. This bibliographic review explores the application of BIM in enhancing hospital infrastructure by focusing on optimization, sustainability, and resilience. The systematic analysis highlights the transformative role of BIM in streamlining project design, improving resource efficiency, and ensuring adaptive facility management. Additionally, it examines the integration of emergent technologies such as artificial intelligence, virtual reality, and blockchain, which further extend BIM’s capabilities. This study underscores BIM’s potential in revolutionizing hospital design and operational paradigms to meet contemporary challenges and future demands.

The main objective of this research was to implement Lean Healthcare tools in the Emergency department of a Level II-E Hospital in Cajamarca to increase user satisfaction in 2024. This research is applied in nature and follows a quantitative approach. The study design is quasi-experimental, applied to a sample of 324 patients who received health care in the hospital’s emergency department. Tools such as questionnaires and process flow diagrams were used to identify wastes in inventory management and unnecessary movements. Just in Time (JIT) helped identify and eliminate non-value-adding activities. The 5S method was implemented to reduce clutter and maintain a clean and efficient workspace, while Kanban and Just in Time methods were applied to organize the medication inventory. As a result, patient satisfaction increased from 10% to 60%, and waiting times and unnecessary movements were significantly reduced. Finally, an economic indicator analysis was conducted, showing a positive Net Present Value (NPV) and an Internal Rate of Return (IRR) of 13% per month.