Sistemas y servicios informáticos administrados por restricciones / Computer systems and services managed by constraints

A pesar de constatar el carácter entrópico del desarrollo de teorías en torno a la Administración, las más recientes enfocan la organización o institución como un sistema compuesto por subsistemas que interactúan entre sí y con el ambiente externo. Muchas son las herramientas que se han propuesto para su gestión, donde la Teoría de las Restricciones ha cobrado un gran auge y ha ganado gran aceptación. Esta propone la determinación de las condiciones en cualquier proceso organizacional que limitan el crecimiento hacia el estado siempre deseado por una organización, conocido como cualidad sistémica; y en función de ello tomar decisiones que coadyuven a llegar a ella. En este trabajo se muestra el análisis de la situación límite relacionada con la administración de los sistemas y servicios informáticos de la Facultad de Tecnología de la Universidad de Ciencias Médicas de Santiago de Cuba. Para ello se utilizaron como métodos teóricos el análisis y síntesis, e histórico - lógico; y como métodos empíricos: la observación científica, la encuesta, y la revisión de documentos. Por último, se proponen acciones de transformación - adaptación que permitan elevar la posibilidad de satisfacer las necesidades detectadas y por ende crecer la cualidad sistémica de dicha institución(AU)

Despite the entropic nature of the development of theories around the Administration, the most recent ones focus the organization or institution as a system composed of subsystems that interact with each other and with the environment. Many management tools have emerged for example the Theory of Constraints, which has become a boom and has gained wide acceptance. It states to find all those conditions in the organizational environment that could restrict the growth to the always desired state of any organization, known as systemic quality; and in accordance with that state, to make decisions that could allow reaching it. In this paper the restrict situation related to the management of computer systems and services shown in the Faculty of Technology of the University of Medical Sciences of Santiago de Cuba is analysed. For that purpose, some theoretical methods were used such as: analysis and synthesis, and historical and logical one; and some empiric methods, for example: scientific observation, surveys, and bibliography review. Finally, some transformation and adaptation activities are proposed, to help to increase the possibility of satisfy the identified needs and thus increase the systemic quality of the institution(AU)

Applied research of appointment checkup process optimization based on the theory of constraints / 中华医院管理杂志

Objective To discuss the effect of the appointment checkup process optimized with the theory of constraints in shortening the appointment waiting time. Methods The patients who underwent ultrasonography, magnetic resonance imaging examination, and CT examinations were selected from the First Hospital of Shanxi Medical University from March 2017 to February 2018. Firstly, we applied the theory of constraints to investigate and analyze the status of medical technology examinations. Secondly, we optimized the process according to the results of the investigation. Finally, we compared the appointment duration of medical examinations before and after the optimization. Results Thanks to support of departments involved, the longest ultrasonography appointment waiting time was reduced from 3. 74 days to 1. 32 days. The longest appointment time for magnetic resonance imaging examination was reduced from 3. 74 days to 1. 33 days. The longest appointment waiting time for CT was reduced from 2. 62 days to 1. 55 days, and the goal of completing the checkup the day after the prescription was reached in the continuous improvement phase. Conclusions The optimization of the medical technology examination appointment process based on the constraint theory can effectively shorten the checkup appointment duration, maximize utilization of medical resources and optimize the services.