Case Study: CysNET achieves rapid, cost-effective semantic analysis of clinical reports with InterSystems iKnow

CysNET uses InterSystems iKnow technology to interpret the natural language of clinical reports

CysNET, a healthcare software provider in Spain, faced the common problem of valuable clinical information being locked in free‑text notes that are rarely coded to standard medical taxonomies, making research, diagnosis, and reporting slow or incomplete for clinicians and hospital staff.

CysNET built Badakit Healthcare on InterSystems iKnow semantic analysis to automatically extract concepts (including negation and complex phrases) from clinical reports and map them to medical vocabularies, integrating via Caché, DeepSee, and Ensemble. Deployed with Clínica Universidad de Navarra, Badakit indexed about 500,000 historical records in five hours, delivering real‑time access to relevant records, faster diagnoses and reporting, and a scalable, cost‑effective platform ready for broader hospital and market use.

CysNET

Marcos Sabourdin

CEO, CysNET Software