Agent-based Simulation as Enabling Technology for Digital Health
Prof. Dr.-Ing. Ingo J. Timm, Center for Informatics Research & Technology (CIRT) and Trier Research Lab for Simulation (TriLabS), Trier University, Germany
The technological development in information and communication technology (ICT) is leading to significant changes in workflows, work procedures, and information
management. In production and logistics, a fourth industrial revolution is declared: digital information processing, mobile and wearable as well as cloud computing, but also service-oriented computing and artificial intelligence are evolving business processes and workflows, yet, they are disruptive with respect to established approaches and
procedures. The new challenges and opportunities of digitalized processes are handled as part of the German government’s high-tech strategy “Industrie 4.0” (Industry 4.0).
In the health care domain, questions arise as “What can we learn / transfer from the digital change in industry and logistics to improve health care?” In the talk we will
discuss potential fields of application of innovative technologies to the health care sector. A key issue in health care is the availability of caregiver professionals. In Sweden as well
as Germany, a dramatic shortage of health care professionals, esp. in homecare scenarios, are predicted by demographic experts. However, in both countries the amount
of marginally educated people will increase. If the caregiving planning would be based on digital and mobile information processing, it seems to be possible, that lacks in
professional caregiving could be compensated by less educated staff. However, such a mixed group of people assisting and caring people requires a sophisticated approach to
the coordination problem: “How can care be planned, developed, and coordinated, and how can care be ensured in future?” In the talk we will address this question and provide
some insights of our work on this topic: simulation is the key technology for planning of logistics systems. Thus, it should also be applied for the design of health care processes.
However, the increased complexity by modeling and simulating human individuals (as caregivers and recipients) is a challenging task. In context of health care, demography,
geography, and skills are important parameters for a sophisticated simulation approach. In official survey statistics, we receive relevant information on individuals. Due to the
high level of aggregation, these numbers cannot be applied “out of a box” but have to be disaggregated and matched to an artificial population with the same probabilistic
properties as the original population. Within the talk these aspects are worked out into more detail. The vision of our research is, to establish a validated artificial population as
basis for the development of health care markets.
Short CV of Ingo J. Timm
Ingo J. Timm studied computer science with focus on Artificial Intelligence and received a Diploma degree (1997), PhD (2004) and venia legendi (professoral thesis, 2006) in
computer science from University of Bremen. From 1998 to 2006, Ingo has been PhD student, research assistant, visiting and senior researcher, as well as managing director
at University of Bremen, Technical University Ilmenau, and Indiana University-Purdue University Indianapolis (IUPUI). In 2006, Ingo was appointed full professor for
Information Systems and Simulation at Goethe-University Frankfurt. Since fall 2010, he holds a chair for Business Informatics at University of Trier and founded the Center for
Informatics Research & Technology (CIRT) at University of Trier. The CIRT as well as its Research Lab for Simulation (TriLabS) is headed by Ingo.
TriLabS and Ingo’s research group are focusing on intelligent assistance systems and simulation and work on information systems, knowledge-based systems in logistics and
medicine. His special interests lie on strategic management of autonomous software systems, actor-based (multiagent-based) simulation and knowledge-based support to
simulation systems. He is author, co-author as well as editor of more than 150 scientific publications on simulation, information systems, knowledge-based systems for
environmental protection, decision support in medicine, and theories and applications of multiagent systems, esp. in logistics. Ingo is member of the board (since 2000) and
speaker (since 2005) of the National Special Interest Group on Distributed Artificial Intelligence (FG-VKI) and is heading the GI-Grand Challenge on “Managing Systemic
Risks in Global Networks” of the German Informatics Society (GI). He is member of numerous program and organization committees of national and international workshops
as well as conferences.