Imagenología-Pregrado

Permanent URI for this collectionhttps://dspace-test.ucuenca.edu.ec/handle/123456789/263

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Browsing Imagenología-Pregrado by Subject "Administración"

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    Organización de un Departamento de Rayos "X" Técnico y Administrativo
    (Universidad de Cuenca. Facultad de Ciencias Médicas, 1979) García R., Edwin; Cuesta S., Franklin; Coronel G., Luis
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    Propuesta de modelo de gestión por procesos para el servicio de Imagenología de la Clínica la Paz, Cuenca-Ecuador 2025
    (Universidad de Cuenca. Facultad de Ciencias Médicas, 2026-03-25) Blandín Rodríguez, Cielo Nicolaya; Montero Ortiz, Vanessa Mercedes; Solano Brito, Pablo José
    Background: Imaging services constitute a fundamental component of diagnostic processes in healthcare institutions, supporting timely and accurate clinical decision-making. However, the absence of formalized management models may lead to deficiencies in the organization and operation of the service. At La Paz Clinic, the increase in demand for imaging studies highlighted the need to strengthen service management through approaches focused on efficiency and quality. Objectives: To develop a process-based management model proposal for the imaging service at La Paz Clinic, in the city of Cuenca, during the year 2025. Methodology: This research followed a quantitative, descriptive, cross-sectional design. The study population consisted of all personnel working in the imaging service, comprising four staff members. The data collection technique used was a survey administered through a structured questionnaire with closed-ended, dichotomous questions. Conclusions: The situational diagnosis revealed that, although defined roles and internal coordination exist, the service lacks a formal management model. Additionally, peak service hours and limitations in staff availability were identified, affecting service continuity and efficiency. In this context, the proposal of a process-based management model is both relevant and feasible, as it enables comprehensive organization of strategic, operational, and support processes, optimizing available resources and strengthening the quality of the imaging service.