Process Support and Knowledge Representation in Health Care

The Elicitation, Representation, Application, and Automated Discovery of Time-Oriented Declarative Clinical Knowledge.- Guidelines and Summarization.- Rule-Based Combination of Comorbid Treatments for Chronic Diseases Applied to Hypertension, Diabetes Mellitus and Heart Failure.- Knowledge-Driven Adaptive Execution of Care Pathways Based on Continuous Planning Techniques.- Towards a Realistic Clinical-Guidelines Application Framework: Desiderata, Applications, and Lessons Learned.- Archetypes and Cooperation.- Data Integration for Clinical Decision Support Based on openEHR Archetypes and HL7 Virtual Medical Record.- Semantic Integration of Patient Data and Quality Indicators Based on open EHR Archetypes.- A Study of Semantic Proximity between Archetype Terms Based on SNOMED CT Relationships.- Distributed Ad Hoc Cooperation in Healthcare.- Process Mining and Temporal Analysis.- Embedding Conformance Checking in a Process Intelligence System in Hospital Environments.- Process Mining in Healthcare: Data Challenges When Answering Frequently Posed Questions.- Flexible and Efficient Retrieval of Haemodialysis Time Series.- An Approach for Representing and Managing Medical Exceptions in Care Pathways Based on Temporal Hierarchical Planning Techniques.

Prof. Dr. Manfred Reichert hält eine Diplom in Wirtschaftsmathematik und promovierte zum Thema Dynamische Ablaufänderungen in Workflow-Management-Systemen zum Dr.rer.nat. Er war Associate Professor an der Universität von Twente in den Niederlanden und ist seit 2008 Professor an der Universität Ulm. Hier forscht er zu den Themen rund um adaptive und fortschrittliche Prozess-Management-Systeme. Aber auch viele weitere Themen wie zum Beispiel Service-orientierte Architekturen und mobile Anwendungen sind Gegenstand seiner Forschung.