Digital Healthcare and Process Intelligence

Our research area is the digitization of processes in healthcare, their analysis and optimization, and their ergonomic implementation in conventional graphical and novel avatar- and chatbot-based user interfaces.

The topic of “process intelligence” encompasses all aspects of smart digitization and automation of discrete processes in medicine and the life sciences. This includes administrative, technical, clinical, and scientific procedures. Processes, also known as workflows, consist of a series of individual steps that are performed sequentially or simultaneously. Processes are usually described as standard operating procedures (SOPs) or clinical guidelines in the form of flowcharts, textual protocols, or even source code.

The targeted implementation of processes in software is based on precise analysis: manually using activity structure and multi-moment analyses, or automatically using process mining of process log data.

Users interact with processes via user interfaces, both in planning, control, and analysis. Conventional graphical user interfaces such as web or desktop applications (e.g., portals or dashboards) and apps for mobile devices are relevant here. The use of generic AI and the latest 3D technology allows us to increasingly explore and implement voice-controlled user interfaces such as chatbots with the support of visual avatars, e.g., for smart questionnaire systems in medicine.

For implementation, we use modern programming languages, frameworks, and software libraries, whereby the implementation follows modern architectural principles and the state of the art in software engineering.

Project examples

 

STACIE – Smart Assistance for Catheter-Based Interventions

 

LAB-IoT-Blog

The Fraunhofer IPA develops pragmatic IoT applications for the laboratory with the aim of advancing the digitalization of laboratory work and coming closer to the dream of "Laboratory 4.0".

 

Process Intelligence Blog

Here you will find posts and articles from current and past projects of the Fraunhofer IPA project group, which deals with the digitalization and automation of processes in medicine and biotechnology