Service providers in the health sector are faced with the enormous challenge of improving the quality of treatment in the health sector, increasing patient safety and at the same time reducing the costs of health services. Smart data analyses of medical data present a very promising possibility of sustainably changing research and development in the health sector. Aggregated patient data can be conducive to support doctors in choosing the right diagnosis and optimal treatment, reduce patient recruitment time for clinical studies and automate the billing process by determine the right billing codes of a treatment.

In recent years, in collaboration with numerous partner hospitals, Averbis has put many different Smart Data applications into effect. In the European research project “SEMCARE”, together with various European hospitals, patient data is compared with current cardiology guidelines to identify patients which need a pacemaker. At several German hospitals, physicians are supported in the diagnosis of rare diseases. All smart data projects have in common that about 85% of patient information exists in the form of unstructured data. The analysis of free text will therefore act as determining factor for the future success of Smart Data Analyses in Healthcare.

Philipp Daumke

Dr. Philipp Daumke is the CEO of Averbis GmbH, a specialist provider of text analytics solutions. His company’s offerings comprise healthcare analytics, trend monitoring, patent analytics, sentiment analysis, and enterprise information discovery.

Dr. Daumke completed his studies in information technology at Fernuniversität in Hagen and his M.D. at the University of Freiburg, Germany. During his medical studies, he spent one year abroad for internships in hospitals in Sydney, Brisbane, and Hobart, Australia. In addition to a biomedical and computer science background, Dr. Daumke’s other areas of expertise include enterprise search, machine learning, semantic web, data mining, healthcare IT, informatics, and software development. Various publications and awards reflect his many years of scientific experience in the field of the analysis of unstructured data.

His company is involved in a variety of international IT research projects, such as SEMCARE “Semantic Data Platform for Healthcare,” which is subsidized by the European Union. The project aims to develop a software platform that facilitates the diagnosis of rare diseases for clinics and aids inthe automated selection of appropriate patients for clinical studies.