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Proyecto: MediGOAllca Alarcon, Lizbeth Margoth, Castillo Dávila, Rogger Milton, Exebio Cisneros, Raul Julian, Portilla Guerrero, Ximena Melissa, Sullon Flores, Mayra Esthefanny 01 November 2021 (has links)
A raíz de la pandemia del Covid-19, si uno desea acudir a una cita médica, debe tomar las medidas necesarias para evitar ser contagiado, ya que en los centro médicos se presentan negligencias de las autoridades por no hacer efectivo el protocolo de bioseguridad, por lo que, los pacientes van a sus citas médicas de manera presencial con la gran angustia de ser infectados y llevar el virus a sus hogares. Es así como nace MediGo con el objetivo de brindar un servicio de asistencia médica mediante un aplicativo móvil que permitirá al paciente realizar sus consultas desde la comodidad de su hogar con una flexibilidad de horarios para reservar citas médicas, así como la facilidad de integrarse a una comunidad de personas con sus mismos intereses. Para validar el modelo de negocio propuesto, se realizaron diferentes experimentos que abarcó el diseño de prototipos de la app tanto para usuarios y personal médico, entrevistas a expertos, programadores, entre otros. Asimismo, se utilizó el método Concierge para validar los ingresos del proyecto a través de las redes sociales. Por otro lado, se elaboraron los planes de marketing, finanzas y recursos humanos, lo que nos permitió proyectar el negocio y determinar su rentabilidad a lo largo del tiempo. Finalmente, todo lo mencionado anteriormente nos indica que MediGo es un negocio viable, muy atractivo e innovador en el rubro de medicina, que da respuesta a una necesidad real y actual. / In the wake of the Covid-19 pandemic, if you want to go to a medical appointment, you must take the necessary measures to avoid getting, since in medical centers there can be negligence by the authorities for not enforcing the biosafety protocols, therefore, patients go to their medical appointments in person with great concern of getting infected and taking the virus home. This is how MediGo was born with the aim of providing a medical assistance service through a mobile application that allows the patient to make their consultations from the comfort of their home with flexible schedules to book medical appointments, as well as the ease of joining a community of people with the same interests. To validate the proposed business model, different experiments were carried out that included the design of application prototypes for both users and medical personnel, interviews with experts, programmers, among others. Likewise, the Concierge method was used to validate the income of the project through social networks. On the other hand, the marketing, finance and human resources plans were made, which allowed us to project the business and determine its profitability over time. Finally, everything mentioned above indicates that MediGo is a viable, very attractive and innovative business in the field of medicine, which responds to a real and current need. / Trabajo de investigación
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Decision support systems design: a nursing scheduling applicationCeccucci, Wendy A. 10 November 2005 (has links)
The systems development life cycle (SDLC) has been the traditional method of decision support systems design. However, in the last decade several methodologies have been introduced to address the limitations arising in the use of the traditional method. These approaches include Courban's iterative design, Keen's adaptive design, prototyping and a number of mixed methodologies incorporating prototyping into the SDLC.
Each of the previously established design methodologies has a number of differing characteristics that make each of them a more suitable strategy for certain environments. However, in some environments the current methodologies present certain limitations or unnecessary expenditures. These limitations suggest the need for an alternative methodology. This dissertation develops a new methodology, priority design, to meet this need.
To determine what methodology would be most effective in a given situation, an analysis of the operating environment must be performed. Such issues as project complexity, project uncertainty, and limited user involvement must be addressed. This dissertation develops a set of guidelines to assist in this analysis. For clarity, the guidelines are applied to three, well-documented case studies.
As an application of the priority design methodology, a decision support system for nurse scheduling is developed. The development of a useful DSS for nurse scheduling requires that projected staff requirements and issues of both coverage and differential assignment of personnel be addressed. / Ph. D.
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