Advanced support system for healthcare professionals
The CDSS solution integrates and processes scientific evidence and patient data to provide clinical recommendations to healthcare professionals. The Clinical Viewer module combines NLP techniques, ontologies, and GenAI to enrich the collected information, highlighting correlations, enabling comprehensive navigation—including through graph structures—and tracking patient-associated health histories and care pathways. Machine Learning algorithms process large volumes of structured and unstructured data to extract prognostic indicators, supporting multidisciplinary boards in identifying risks of disease onset or worsening, interpreting test results, and developing potential diagnoses.
Collection of large volumes and types of data
Improved planning of clinical interventions
Increasingly early diagnosis and predictive medicine
Querying of databases even in natural language
Reducing health care costs
Support for patient stratification
Prediction of the risk of hospital readmission for patients with heart failure
AI-driven home monitoring for Covid-19 patients
Classification of diabetic patients and prediction of associated risks
Predictive indicators for oncological diseases, such as breast cancer and hematological disorders
