Our methodology
Simulation tools
Simulation systems for data-driven projects
A cross-cutting and dynamic tool that allows for the rapid, flexible, and data-driven analysis and comparison of alternative scenarios. Applicable at every stage of clinical-management design, from defining processes to organizing activities, up to the potential physical representation of spaces, it allows for precise evaluation of the impact of every choice.
Thanks to the ability to test different solutions before their implementation, simulation reduces margins of error, increases decision confidence, and directs towards more effective, sustainable, and aligned operational configurations according to the actual needs of the healthcare system.
The increasing complexity of the healthcare system demands tools capable of supporting rapid, reliable, and data-driven decisions.
AGM has developed a simulation module that allows for the modeling and comparison of alternative scenarios in the clinical-management field, assessing their impact on processes, resources, and spaces through advanced dynamic modeling techniques.
This technology allows for testing solutions before their implementation, reducing the risk of error and guiding towards more effective, sustainable, and coherent operational configurations with the actual needs of the system.
Data Warehouse
Data analysis and validation for efficiency
Every day, the healthcare system produces large volumes of heterogeneous data, which require an integrated approach for effective analysis that takes into account the origin of the data, their heterogeneity, and the necessity to ensure quality and consistency.
AGM has designed a knowledge platform that integrates data from different sources, verifies its quality through statistical and domain validation pipelines, and analyzes it using advanced techniques of process mining and machine learning.
This architecture enables the identification of structural inefficiencies, misalignments between supply and demand, and organizational criticalities, providing a solid foundation for decision making at the system level.
Clinical mathematics tools
Clinical mathematics for healthcare planning
Clinical mathematics is an advanced tool for supporting healthcare design, based on multi-parameter predictive models.
Through the integrated analysis of clinical, organizational, and regulatory data, the system allows accurate estimation of the functional needs of each hospital and territorial area. Each model is developed based on the specific context, taking into account care needs, industry standards, best organizational practices, and comparisons with national and international benchmarks. The result is a more conscious, objective, and personalized design, capable of translating numbers and forecasts into concrete solutions for truly efficient and sustainable healthcare facilities.
The complexity of care systems imposes design choices based on quantitative and contextual analysis.
AGM applies multi-parameter clinical mathematics models that integrate clinical, organizational, and regulatory data, accurately estimating the functional needs of hospital and territorial structures.
This approach enables a more objective, personalized design aligned with industry standards, transforming data into sustainable and efficient operational solutions.
