The professorship introduces itself
In research and teaching, the professorship deals with the planning and analysis of service processes in the healthcare sector. The modeling, analysis and optimization of practical problems using quantitative methods in the areas of business analytics and operations management are at the forefront of its activities. The research work is carried out in close cooperation with practitioners.
Our research profile
Central research questions deal with process, resource, quality and information management. Our research activities are divided into the following two research areas.
Resource Planning In this research area, we deal with the optimal short, medium and long-term allocation of resources within medical processes. This includes duty and resource planning in the medical and nursing service as well as training planning for prospective specialists. In addition, there are issues relating to operating room planning, including the upstream emergency department, downstream intensive care capacities and the underlying appointment allocation.
Data Science and Decision Making In the research area of Data Science and Decision Making, the Chair of Data Science attempts to use methods and machine learning processes, primarily but not exclusively in the healthcare sector, to analyze existing data and derive appropriate recommendations for action. This data originates, for example, from hospital information systems and, depending on the application, can include occupancy and treatment data or even working times and procedure durations.
Main research areas
- Resource planning
- Personnel resource planning
- Operating room planning
- Patient flow optimization
- Appointment scheduling systems
- Medical decision support
- AI in healthcare
- Home Care
List of Publications
Analyzing the relationship between physicians’ experience and surgery duration
Analyzing the relationship between physicians’ experience and surgery duration
Balancing control and autonomy in master surgery scheduling: Benefits of ICU quotas for recovery units
Balancing control and autonomy in master surgery scheduling: Benefits of ICU quotas for recovery units
A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy
A Scalable Forecasting Framework to Predict COVID-19 Hospital Bed Occupancy
Detecting Airborne Pollen Using an Automatic, Real-Time Monitoring System: Evidence from Two Sites
Detecting Airborne Pollen Using an Automatic, Real-Time Monitoring System: Evidence from Two Sites
Homogeneity and Best Practice Analyses in Hospital Performance Management: An Analytical Framework
Homogeneity and Best Practice Analyses in Hospital Performance Management: An Analytical Framework
Managing admission and discharge processes in intensive care units
Managing admission and discharge processes in intensive care units
Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks
Predicting intensive care unit bed occupancy for integrated operating room scheduling via neural networks
Assessing the impact of uncertainty and the level of aggregation in case mix planning
Assessing the impact of uncertainty and the level of aggregation in case mix planning
Benchmarking the Benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings
Benchmarking the Benchmarks – Comparing the accuracy of Data Envelopment Analysis models in constant returns to scale settings
Planning for Overtime: The Value of Shift Extensions in Physician Scheduling
Planning for Overtime: The Value of Shift Extensions in Physician Scheduling
Reaching for the stars: attention to multiple testing problems and method recommendations using simulation for business research
Reaching for the stars: attention to multiple testing problems and method recommendations using simulation for business research
A robust framework for task-related resident scheduling
A robust framework for task-related resident scheduling
Alumni
|
Alumni - Wissenschaft
|
Alumni - Praxis
|
|
Contact the professorship
Opening hours
Postal address
Prof. Dr. Jens O. Brunner
University of Siegen
School of Economic Disciplines III,
Business Information Systems and Business Law
Professorship of Management Science
US-D 425
Kohlbettstr. 15
57072 Siegen
Visitor address
Prof. Dr. Jens O. Brunner
Professorship of Management Science
US-D 425
Kohlbettstr. 15
57072 Siegen
Secretariat
Please contact Prof. Dr. Jens O. Brunner.