Production workflow: concepts and techniques
Production workflow: concepts and techniques
Artificial Intelligence: A Modern Approach
Artificial Intelligence: A Modern Approach
Automata-Based Verification of Temporal Properties on Running Programs
Proceedings of the 16th IEEE international conference on Automated software engineering
DECLARE: Full Support for Loosely-Structured Processes
EDOC '07 Proceedings of the 11th IEEE International Enterprise Distributed Object Computing Conference
Adaptable Pervasive Flows - An Emerging Technology for Pervasive Adaptation
SASOW '08 Proceedings of the 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems Workshops
PerFlows for the computers of the 21st century
PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
Database Systems for Advanced Applications
Modeling Dynamic Context Awareness for Situated Workflows
OTM '09 Proceedings of the Confederated International Workshops and Posters on On the Move to Meaningful Internet Systems: ADI, CAMS, EI2N, ISDE, IWSSA, MONET, OnToContent, ODIS, ORM, OTM Academy, SWWS, SEMELS, Beyond SAWSDL, and COMBEK 2009
On a generic uncertainty model for position information
QuaCon'09 Proceedings of the 1st international conference on Quality of context
Cordies: expressive event correlation in distributed systems
Proceedings of the Fourth ACM International Conference on Distributed Event-Based Systems
FlexCon: robust context handling in human-oriented pervasive flows
OTM'11 Proceedings of the 2011th Confederated international conference on On the move to meaningful internet systems - Volume Part I
Sliver: a BPEL workflow process execution engine for mobile devices
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
The prom framework: a new era in process mining tool support
ICATPN'05 Proceedings of the 26th international conference on Applications and Theory of Petri Nets
Health-status monitoring through analysis of behavioral patterns
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
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Processes in the healthcare domain are characterized by coarsely predefined recurring procedures that are flexibly adapted by the personnel to suite-specific situations. In this setting, a workflow management system that gives guidance and documents the personnel's actions can lead to a higher quality of care, fewer mistakes, and higher efficiency. However, most existing workflow management systems enforce rigid inflexible workflows and rely on direct manual input. Both are inadequate for healthcare processes. In particular, direct manual input is not possible in most cases since (1) it would distract the personnel even in critical situations and (2) it would violate fundamental hygiene principles by requiring disinfected doctors and nurses to touch input devices. The solution could be activity recognition systems that use sensor data (e.g., audio and acceleration data) to infer the current activities by the personnel and provide input to a workflow (e.g., informing it that a certain activity is finished now). However, state-of-the-art activity recognition technologies have difficulties in providing reliable information. We describe a comprehensive framework tailored for flexible human-centric healthcare processes that improves the reliability of activity recognition data. We present a set of mechanisms that exploit the application knowledge encoded in workflows in order to reduce the uncertainty of this data, thus enabling unobtrusive robust healthcare workflows. We evaluate our work based on a real-world case study and show that the robustness of unobtrusive healthcare workflows can be increased to an absolute value of up to 91% (compared to only 12% with a classical workflow system). This is a major breakthrough that paves the way towards future IT-enabled healthcare systems.