Radiotherapy Information System in Cancer Treatment Improvement: A Case Study at the Brazilian National Cancer Institute.

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.

Decision Support System for Inventory Management in Healthcare Organizations: A Case Study at the Brazilian National Cancer Institute.

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.

Implementing an Oncology Decision Support System: The Case of the Brazilian National Cancer Institute.

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.

Big Data in Brazilian Cancer Surveillance.

Cancer research has a great importance across the world. It is responsible for data analysis of cancer incidence by region, ethnicity, gender, age, social and economic issues, and contributes to the assessment of population health necessities. Nowadays, Brazil has a complex cancer care scenario. There are nearly 600.000 new cancer cases each year. Cancer surveillance in Brazil is carried out by a network of cancer registries which together feed the data warehouse of cancer incidence across the country. The analysis of cancer data warehouses using Data Mining techniques may discover hidden relations among patients' data, cancer treatment, and disease surveillance. This paper presents the development of a Big Data project with the purpose to analyze the cancer incidence and mortality patterns within the different regions and population groups in Brazil.