Análisis de la implementación del software Openclinic en la toma de decisiones en el hospital Antonio Lorena. Periodo 2021-2022

El presente estudio en la gestión de procesos, se ha optimizado, en función del grado de aplicación de las nuevas tecnologías. Uno de los servicios que se ha beneficiado por la aplicación de los conocimientos tecnológicos, es el vinculado con la atención de la salud. En el Perú, se ha visto con buenas perspectivas la aplicación de las nuevas tecnologías a los servicios de salud. Se tiene, por ejemplo, el software OpenClinic, un sistema tecnológico para la gestión hospitalaria; que permite cubrir la gestión de datos en una unidad hospitalaria. Este software, posee una amplia capacidad para llevar las estadísticas y procesar los informes basados en estándares de interoperabilidad en el sector salud. En la presente investigación, lo que se busca es analizar el desempeño de los gestores de salud vinculados al proceso de aplicación del software OpenClinic para la toma de decisiones en el Hospital Antonio Lorena. Junto a ello, la investigación arroja información relevante en torno al funcionamiento del software OpenClinic, que aplicado y siguiendo las recomendaciones técnicas, provee de datos confiables de salud, costos y aseguramiento de los pacientes. Los resultados nos demuestran que el desempeño del OpenClinic es una herramienta informática de gran ayuda para la toma de decisiones, sirviendo de soporte en la gestión clínica y administrativa; además demuestran que el sistema de gestión hospitalaria integral OpenClinic presenta datos confiables en salud, así como en los costos y en el aseguramiento de la atención del paciente, desde el inicio del registro hasta el consolidado de la información

Potential adoption of mobile health technologies for public healthcare in Burundi.

Doctor of Philosophy in Information Systems and Technology. University of KwaZulu-Natal, Pietermaritzburg 2016.Mobile health (or mHealth) describes the utilisation of wireless mobile communications devices in public and private healthcare. These include, but are not limited to, mobile telephones, personal digital assistants, and patient monitoring devices. Although the outcomes of mHealth interventions in developing countries have generally been assessed as positive, there is a need for designing mHealth interventions that are specifically tailored to the context of individual countries. It is in this context that this research investigates the potential adoption of mHealth technologies to provide healthcare services in Burundi from the institutional level point of view (Burundi’s Ministry of Health and Fight Against AIDS (MoH&A) and the Ministry of Communication (MoC)), users point of view (primary healthcare professionals) and mobile technology point of view (mobile technology providers). Using three theoretical frameworks i.e. the Capabilities Approach (CA) model, the Diffusion of Innovation (DOI) theory and the Unified Theory of Acceptance and Use of Technology (UTAUT), this research firstly identifies the determinants and impediments to mHealth adoption in Burundi. It further describes how mHealth could be used to address the current challenges that the Burundi’s Ministry of Health faces in terms of providing public healthcare services. It further proposes a framework for the adoption of mHealth in Burundi. At the institutional level and mobile technology point of view, semi-structured interviews were held with civil servants from the two Ministries and with mobile technology services providers. At the users’ level, a survey was conducted with primary healthcare professionals from 47 primary healthcare centres. Findings reveal that mHealth adoption can contribute to disease prevention, disease management and the provision of quality healthcare in Burundi. Although there is limited knowledge of mHealth capabilities within the Burundi’s public healthcare sector, there is a general willingness towards the adoption of mHealth notwithstanding challenges associated with its adoption. Although DOI construct-related factors such as relative advantage, compatibility, trialability and observability significantly influence the adoption of mHealth in Burundi, complexity does not. In addition, performance expectancy, effort expectancy and facilitating conditions are UTAUT constructs that significantly influence the adoption of mHealth adoption. The research advocates for an integrated and collaborative approach to addressthe impediments to mHealth adoption in Burundi