Advanced support system for healthcare professionals

Use case

Clinical recommendations for healthcare staff through the integration and processing of scientific evidence and patient data

Opportunity

Speeding up healthcare innovation and improving user experience by using AI-based solutions.

Challenge

Providing clinical recommendations to healthcare staff through the integration and processing of scientific evidence and patient data, enabling:

• collection of large volumes and types of data
• better planning of clinical interventions
• earlier diagnoses and predictive medicine
• querying databases even in natural language
• reducing healthcare costs
• support for patient stratification.

Solution

DSS solutions integrate and process scientific evidence and patient data to provide clinical recommendations to healthcare staff. The Clinical Viewer module combines NLP techniques, ontologies, and GenAI to enrich the collected information, highlighting correlations, allowing advanced navigation even through graph structures, and tracking the patient's medical history and care pathways.

Advanced Machine Learning algorithms process large volumes of structured and unstructured data to generate prognostic indicators that support multidisciplinary boards in identifying risks of disease onset or worsening, interpreting test results, and developing potential diagnoses.