RESUMEN
Radiotherapy is one of the main means of treating cancer patients. Its application has grown worldwide. Around 50% of all cancer patients should receive radiation. Brazil faces a shortage of radiotherapy treatment because of a lack of enough treatment units, equipment availability, well-trained staff, and fair reimbursement. The Radiotherapy Information System (RIS) implementation to manage information about patient scheduling is vital to improve the efficiency of care and reduce the waiting time to start cancer treatment. The information system deployed can be indicated as a disruptive innovation in the Brazilian public health system, considering the radical improvement in the cancer treatment process at the Brazilian National Cancer Institute.
Asunto(s)
Neoplasias , Oncología por Radiación , Brasil , Humanos , Sistemas de Información , National Cancer Institute (U.S.) , Neoplasias/radioterapia , Estados UnidosRESUMEN
There is increasing recognition of the potential to use mobile health (mHealth) technologies such as smartphone apps to support clinical care. Mobile apps are progressively being implemented to manage chronic diseases like cancer to improve patient care. The app deployed at the Brazilian National Cancer Institute enables patients to access the appointments/exam booking, medication prescription, and cancer-prevent educational resources, improving self-management, autonomy, and cancer treatment outcomes in resource-limited environments. Despite acknowledging the importance of mHealth, research is still scarce regarding patients' views on using these innovations in cancer care management.
Asunto(s)
Aplicaciones Móviles , Neoplasias , Automanejo , Telemedicina , Tecnología Biomédica , Humanos , National Cancer Institute (U.S.) , Neoplasias/terapia , Estados UnidosRESUMEN
Nowadays, the great majority of the healthcare organizations has been criticized due to the high costs and low efficiency and are facing a critical situation aggravated by unmet demand and aging population. Availability of medicines is one of the clearest indicators that a healthcare organization is working efficiently. Medicines represent a large portion of the costs in the health services due to the significant value of these products and their storage and control requirements. Shortages of inventory have become a severe problem at the Brazilian healthcare organizations. The purpose of this work is to present the deployment of a Decision Support System which supports real-time inventory control and medicine tracking providing transparency and accessibility of this critical information at the Brazilian National Cancer Institute.
Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Organizaciones de Planificación en Salud , Neoplasias , Brasil , Costos y Análisis de Costo , Neoplasias/terapia , Estados UnidosRESUMEN
Brazil has a complex situation in cancer treatment services. The incidence rates have reached around 600.000 new cases each year. The development of an Oncology Decision Support System (ODSS) that support cancer treatment is amongst the priorities in the cancer control program. The purpose of this article is to study the ODSS deployment at the Brazilian National Cancer Institute. The implementation of this Clinical Decision Support System employed on the management, processing, and analysis of Brazilian cancer clinical data can be considered a disruptive innovation which changes the clinical decision-making process radically.
Asunto(s)
Sistemas de Apoyo a Decisiones Clínicas , Oncología Médica , Brasil , Atención a la Salud , HumanosRESUMEN
Nowadays Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year in Brazil, and the huge majority of patients have some contact with hospital services. However, long waiting queues for diagnostics and treatments have become common. One of the critical success factors in a cancer treatment is early diagnosis. The reduction of waiting time to start therapeutic procedures is one of the main issues for improvement of patient's quality of life and possibilities of cure. The objective of this work is to describe the development of a decision support system that improves the identification of access alternatives, appointment scheduling and employment of available resources. The Theory of Constraints was used to identify bottlenecks in patient treatment flow and a Discrete Events Simulation model was used to reduce patients' waiting time to start cancer treatment.
Asunto(s)
Citas y Horarios , Gestión del Conocimiento , Neoplasias/terapia , Brasil , Humanos , Calidad de Vida , Programas InformáticosRESUMEN
In last decades Information Technology (IT) has been established as the main tool to support processes. Medical area has noticed the opportunity for improvement and interacting with IT has enabled solid interdisciplinary instruments for improvement. The aim in this project is composed by an analysis of the relationship between the application of information technologies, oncological assistance and innovation. Next, the project will focus to present the case of a proposal to reformulate the national cancer care system, with IT and Innovation being the base instrument for this process.
Asunto(s)
Sistemas de Información , Oncología Médica/organización & administración , Academias e Institutos , BrasilRESUMEN
Nowadays Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year in Brazil, and the huge majority of patients have some contact with hospital services. However, long waiting queues for diagnostics and treatments have become common. One of the critical success factors in a cancer treatment is early diagnosis. The reduction of waiting time to start therapeutic procedures is one of the main issues for improvement of patient's quality of life and possibilities of cure. The objective of this work is to describe the development of a decision support system that improves the identification of access alternatives, appointment scheduling and employment of available resources. The Theory of Constraints was used to identify bottlenecks in patient treatment flow and a Discrete Events Simulation model was used to reduce patients' waiting time to start cancer treatment.