About us
For over 20 years, we have been working in the healthcare sector with pharmaceutical companies, clinicians, scientific societies, and patient associations. We use rigorous methodologies to generate and collect scientific data that can be published in indexed international journals and used in dialogue with health authorities.
What we do
Guiding consensus in healthcare with the most appropriate scientific tools
We carry out consulting projects in the pharmaceutical and healthcare sectors, developing scientific initiatives for a wide range of stakeholders: pharmaceutical companies, scientific societies, patient associations, clinicians, pharmacists, and other industry professionals.
Data Management / Artificial Intelligence
We generate and collect scientific and economic data, which are statistically analyzed to build consensus on complex issues and identify preferences for treatments and access pathways.
This data can be developed from a pharmacoeconomic perspective for submission to health authorities. Some of our applications involve the use of Artificial Intelligence.
Statistics / Discrete Choice Experiment
Projects are designed and implemented according to rigorous statistical standards to facilitate publication in high-impact factor scientific journals.
Calibra has developed specialized statistical expertise to analyze data from these methodologies or other sources. This led to strategic academic collaborations and the definition of IT platforms necessary for DCE (conjoint analysis), ensuring a rigorous approach that provides vital business insights.
The Delphi Method: consensus based on experience and scientific literature
Calibra was among the first companies in Italy to use the Delphi Method to build expert consensus on clinical issues not yet fully supported by literature. In these cases, it is essential to leverage the clinical experience of top specialists in a structured manner.
Methodological rigor for qualified scientific publications
Our projects are published in indexed international scientific journals, confirming the scientific value and methodological quality of the Calibra approach.
















