Anonymization and de-identification of medical documents and patient data
Anonymize and de-identify patient data in a data protection–compliant manner using artificial intelligence.
Structured
health data.
Fast
and
simple.
Powered
by
AI.
Averbis improves patient documentation in hospitals with AI-based solutions for data structuring.
More time for what really matters – your patients.
For more than 15 years, Averbis has been a leading expert in Natural Language Processing and Large Language Models in healthcare. From our headquarters in Freiburg, we support more than 100 customers and partners worldwide in redefining patient documentation based on structured health data.
Medical Summary
Medical Summary provides you with a structured, chronologically sorted overview of patient data. Centrally located in one place. The AI uses unstructured documents from various data sources—whether universal archives, HIS, documentation systems, ePA, ELGA, or EPD—and provides you with all medical information at a glance.
Ideal for: Hospitals.
Comments on Averbis
„Together with Averbis, we unlock the full potential of NLP applications in healthcare. We lay the foundation for informed decision-making in clinical care and research, thereby supporting the sustainable digital transformation of healthcare delivery.“
Prof. Dr. Martin Boeker, Chair of Medical Informatics, Technical University of Munich (TUM)
„Together with Averbis, we are able to extract medical information from unstructured data using AI and make it available in a structured way for patient care and research.“
Prof. Dr. med. Oliver Opitz, Head of the Telemedicine Coordination Office Baden-Württemberg, Bosch Health Campus
„Averbis’ AI solutions enable us to transfer medical information such as diagnoses, blood pressure values, and discharge summaries directly from physician letters into our practice management system. This supports the automation of administrative processes and significantly reduces documentation effort.“
Dr. med. Rita Bangert-Semb, Managing Director, ÜBAG Hausarzt-Zentrum Metropolregion GbR
„We have maintained a long-standing and trusting collaboration with Averbis. From the Medical Informatics Initiative and the identification of rare diseases to the cloud-based processing of patient data, Averbis has consistently supported and advanced our projects.“
Prof. Dr. Hans-Ulrich Prokosch, Former Chair of Medical Informatics, Friedrich-Alexander University Erlangen-Nürnberg
„Together with Averbis, we are developing AI solutions with deep integration into our HIS to support medical professionals in documentation processes.“
Dr. med. Martin Wetzel, Product Manager, Meierhofer AG
Customers & partners
