Public Health
Improves the integration of public health surveillance systems.
Definition
Improving the efficiency of public health surveillance systems in the event of possible cases of chronic non-communicable diseases that are not usually included in reporting systems. We have focused on diabetes, but this could also be done for chronic conditions such as dyslipidaemia, high blood pressure, chronic kidney disease or other conditions.
Integra Cloud is committed to developing surveillance for these conditions, which currently fall partially outside the scope of specific public health surveillance systems. The aim is to monitor these diseases at both the patient and population levels, given their significant impact on individual health and healthcare resource consumption. The identification of risk factors is essential in order to implement strategies for the prevention and early control of the disease, as well as to identify the high-risk population for monitoring.
Origin of the use case
In the field of public health, surveillance has historically focused on communicable diseases. However, chronic non-communicable diseases, such as diabetes, represent a growing challenge due to their high impact on both people’s health and the use of health resources.
One of the main problems is the difficulty in accurately identifying those affected or at risk of developing the disease. Many of them do not have a formal diagnosis, despite presenting risk factors or initial symptoms. In addition, relevant information is often scattered across different systems, preventing a complete and up-to-date view of the situation.
At the same time, it seeks to identify the risk factors associated with the disease in order to facilitate prevention and early control strategies, keeping the population most likely to develop diabetes under close monitoring. The ultimate goal is to promote preventive and proactive management based on reliable and up-to-date information.
The Integra Cloud
solution
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Integra Cloud offers an innovative response to this challenge through a system that improves the efficiency and accuracy of public health surveillance. Its approach is based on the integration of clinical and population data, combined with predictive models that enable the detection and stratification of the risk of chronic diseases such as diabetes.
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The platform facilitates the work of professionals by providing information on patients with risk indicators or early signs of disease. It enables continuous, personalised monitoring and targets preventive interventions at the most vulnerable groups.
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In addition, Integra Cloud strengthens coordination between different levels of care and public health services, promoting fluid communication and evidence-based decision-making. The integration of information into a single environment helps to transform scattered data into useful and operational knowledge.
Results
The use of Integra Cloud in the field of chronic disease surveillance creates an interactive analysis environment that provides a comprehensive overview of the problem. Dashboards and automatic reports facilitate the planning and monitoring of prevention strategies, while helping to identify trends and areas of higher incidence.
This advance translates into earlier detection of diabetes and better identification of high-risk populations. It also makes it possible to optimise available resources and improve the efficiency of the healthcare system.
Thanks to data integration and the use of intelligent tools, public health now has a more solid basis for early action. Early detection, earlier intervention and prevention of serious complications are thus becoming an achievable reality, with benefits for both individuals and the healthcare system as a whole.
