Health Services

Identification and description of unwarranted variations in the care provided to chronically ill patients, particularly in relation to equity of access, quality, safety and efficiency. Assessment of the appropriate use of services, and their impact on outcomes, diagnostic and surgical medical procedures and treatments, with particular emphasis on patients with multimorbidity and polypharmacy.

Development, validation and implementation of clinical practice rules and predictive models that are then translated into clinical practice through applications.

Assessment of Patient Reported Outcomes (PROMs), such as quality of life, satisfaction, health perception, etc. Development and validation of tools for measuring these outcomes. Its objective is to incorporate the patient’s vision as a parameter for evaluating the process and, fundamentally, for measuring the results obtained in health.

Analysis of administrative data: extraction of massive health data, quality analysis and linkage strategies for database management and cohort creation, especially in clinical-administrative data (RWD), development of different artificial intelligence strategies for the exploitation of these data; development of applications for the automation of this data exploitation.

New statistical models. Methodological area in which new statistical approaches and techniques are explored for the better exploitation and modelling of biomedical data.