REDbox: a comprehensive semantic framework for data collection and management in tuberculosis research.

Clinical research outcomes depend on the correct definition of the research protocol, the data collection strategy, and the data management plan. Furthermore, researchers often need to work within challenging contexts, as is the case in tuberculosis services, where human and technological resources for research may be scarce. Electronic Data Capture Systems mitigate such risks and enable a reliable environment to conduct health research and promote result dissemination and data reusability.

A Permissioned Blockchain Network for Security and Sharing of De-identified Tuberculosis Research Data in Brazil.

Background: Tuberculosis (TB) is an infectious disease and is among the top 10 causes of death in the world, and Brazil is part of the top 30 high TB burden countries. Data collection is an essential practice in health studies, and the adoption of electronic data capture (EDC) systems can positively increase the experience of data acquisition and analysis. Also, data-sharing capabilities are crucial to the construction of efficient and effective evidence-based decision-making tools for managerial and operational actions in TB services.

The use of indicators for the management of Mental Health Services.

Objective: to identify indicators that can be used in the management of Mental Health Services.

Method: an integrative review in which we adopted the Population, Concept, and Context strategy to formulate the following Guiding Question: "Which indicators can be used for the management of mental health services?".

Results: a total of 22 articles were included and divided into two main groups: countries with initial high income (54%) as well as low- and middle-income countries (46%).

Data Integration in the Brazilian Public Health System for Tuberculosis: Use of the Semantic Web to Establish Interoperability.

Background: Interoperability of health information systems is a challenge due to the heterogeneity of existing systems at both the technological and semantic levels of their data. The lack of existing data about interoperability disrupts intra-unit and inter-unit medical operations as well as creates challenges in conducting studies on existing data. The goal is to exchange data while providing the same meaning for data from different sources.

Development of CART model for prediction of tuberculosis treatment loss to follow up in the state of São Paulo, Brazil: A case-control study.

Background: Tuberculosis is the leading cause of infectious disease-related death, surpassing even the immunodeficiency virus. Treatment loss to follow up and irregular medication use contribute to persistent morbidity and mortality. This increases bacillus drug resistance and has a negative impact on disease control.

Towards a Clinical Trial Protocol to Evaluate Health Information Systems: Evaluation of a Computerized System for Monitoring Tuberculosis from a Patient Perspective in Brazil.

Assessment of health information systems consider different aspects of the system itself. They focus or on the professional who will use the software or on its usability or on the software engineering metrics or on financial and managerial issues. The existent approaches are very resources consuming, disconnected, and not standardized.

Impact assessment on patients' satisfaction and healthcare professionals' commitment of software supporting Directly Observed Treatment, Short-course: A protocol proposal.

Doctors, nurses, and other healthcare professionals use software that affects the patients. Directly Observed Treatment, Short-course is the name given to the tuberculosis control strategy recommended by the World Health Organization. The main goal of this work is to propose a protocol for evaluating the impact of healthcare software supporting Directly Observed Treatment, Short-course on patients, healthcare professionals, and services.

A web-based information system for a regional public mental healthcare service network in Brazil.

Background: Regional networking between services that provide mental health care in Brazil's decentralized public health system is challenging, partly due to the simultaneous existence of services managed by municipal and state authorities and a lack of efficient and transparent mechanisms for continuous and updated communication between them. Since 2011, the Ribeirao Preto Medical School and the XIII Regional Health Department of the Sao Paulo state, Brazil, have been developing and implementing a web-based information system to facilitate an integrated care throughout a public regional mental health care network.

Case Presentation: After a profound on-site analysis, the structure of the network was identified and a web-based information system for psychiatric admissions and discharges was developed and implemented using a socio-technical approach.