We offer intelligent solutions for the digitalization in the healthcare sector.

Healthcare Analytics

The healthcare sector is currently experiencing the biggest technological change in its history. There is now an overriding trend across the entire sector towards precision medicine, often described as personalized medicine. In particular, the use of health and lifestyle data for diagnostic investigations and treatment has become a number one priority. Hospitals and other medical institutions benefit enormously from digitalization and the innumerable opportunities it creates for increased efficiency and quality and the design of new proposals. However, they are also faced with the huge challenges that result from it.

We happily guide you through the design and conversion phase of your digitalization strategy, help you access medical documents and data and develop new proposals for qualified medical staff and patients. We do this by putting into practice our many years experience of Machine Learning, Artificial Intelligence (AI) and data analysis.

We develop your made-to-measure digitalization strategy in partnership with you: We clarify which procedures need to be digitalized and what specific application scenarios might look like. Whatever the measures are that we take we pay meticulous attention to privacy and data protection, as well as to cost implications and benefits.

More about digitalization in medical facilities (in German)

Besides medicine in general, pharmacology is one of our main fields of application. It is versatile and ranges from screening of potential drug candidates to the optimization of manufacturing processes and the evaluation of clinical studies. We support you in analyzing large amounts of data using innovative methods from data science and machine learning, thereby uncovering new, complex patterns and enabling deeper insights.

More about artificial intelligence in pharmacology (in German)

Portfolio of services

Our services include optimizing procedures within medical organizations, developing systems that help making decisions easier, analyzing medical data, evaluating study outcomes and structuring new approaches for physicians and patients. Our customers include medical facilities, pharmaceutical companies and manufacturers of medical devices.

Supporting clinical studies

Clinical studies are conducted in a controlled environment and their outcomes are evaluated for statistical purposes. Machine Learning methods are ideal for deriving answers from data material. They cannot only provide answers to questions but also discover patterns that have yet not been recognized.

We can either analyze clinical studies retrospectively (secondary analysis) or gather any information prospectively. In doing so we can develop new analytical procedures, such as for the study of chronic diseases related to the immune system.

Our partnership with the Fraunhofer IME-TMP makes this possible.

Text Mining for medical documents

A significant amount of information vitally important to routine medical procedures exists in the form of text documents. These documents can be wide ranging and can include specialized medical literature and study outcome publications as well as physician’s letters and medical reports.

We offer Text Mining solutions based on "Natural Language Understanding". It involves extracting the essential information from all of the relevant documents and making it available in a structured format.

Digitalization in medical facilities

The healthcare sector can benefit enormously from digitalization and the opportunities it creates for increased efficiency, quality and new ways of working.

We help you identify and unlock this potential. We also support you with the design and targeted implementation of a made-to-measure digitalization strategy.

Working together we can determine which procedures need to be digitalized and what specific application scenarios might look like.

Highlights

A digital patient model

... for improved long-term treatment and care based on knowledge graphs.

Optimized care of seriously injured persons

... through data-driven decision support using artificial intelligence.

Promoting activity among older people

... by analyzing lifestyle data through Machine Learning.

Early detection of Parkinson's disease

... through the use of voice technologies via smartphones and wearables.

Support for colon cancer therapy

... by selecting, preparing and planning the appropriate therapy with the "Electronic Patient Path".

Early diagnosis of subclinical arthritis

... by finding biomarkers through integrative data analysis.