InterSystems at DHC 2025: Leveraging Reliable Clinical Data
InterSystems a DHC 2025 - Dati clinici affidabili - inno3
Summary
InterSystems emphasized that realizing the full potential of AI in healthcare requires a reliable and interoperable data foundation. The company aims to implement clinically useful AI by providing platforms that integrate and govern data from diverse systems based on open standards like HL7 and FHIR.
Details
InterSystems' strategy focuses on integrating Artificial Intelligence (AI) into the entire healthcare process, including diagnosis and care management. According to the company, high data quality is crucial for AI to be truly useful, addressing this challenge head-on. The provided platforms integrate data from diverse sources—such as hospitals, laboratories, medical devices, and regional records—and ensure data quality according to open standards like HL7 and FHIR. Specific applications include personalizing therapies and predictive medicine through the cross-analysis of clinical data and real-world data (RWD); optimizing processes by predicting readmissions or no-shows; and supporting diagnosis and research using Natural Language Processing (NLP) and generative AI techniques to automate tasks like report summarization or message triage. In Italy, the company's technology already supports the integration of Electronic Health Records (FSE) in regions such as Lombardy, Tuscany, and Veneto, contributing to the evolution toward FHIR 2.0 and the Data Ecosystem (EHS). InterSystems aims to transform AI into tangible value through collaboration among public bodies, private companies, and technological partners.
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