Managing heterogeneous multi-system tasks to support enterprise-wide operations
Distributed and Parallel Databases - Special issue on software support for work flow management
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Coloured Petri nets (2nd ed.): basic concepts, analysis methods and practical use: volume 1
Specification and implementation of exceptions in workflow management systems
ACM Transactions on Database Systems (TODS)
Knowledge engineering and management: the CommonKADS methodology
Knowledge engineering and management: the CommonKADS methodology
Rationalizing Medical Work: Decision-Support Techniques and Medical Practices
Rationalizing Medical Work: Decision-Support Techniques and Medical Practices
The Social Life of Information
The Social Life of Information
Information Space
Representing Medical Protocols for Organizational Simulation: An Information-Processing Approach
Computational & Mathematical Organization Theory
Modeling and Analyzing Interorganizational Workflows
CSD '98 Proceedings of the 1998 International Conference on Application of Concurrency to System Design
Knowledge level modelling: concepts and terminology
The Knowledge Engineering Review
The Knowledge Engineering Review
An AI-Based Approach to Support Communication in Health Care Organizations
AIME '01 Proceedings of the 8th Conference on AI in Medicine in Europe: Artificial Intelligence Medicine
Evidence-based careflow management systems: the case of post-stroke rehabilitation
Journal of Biomedical Informatics
Evidence-based careflow management systems: the case of post-stroke rehabilitation
Computers and Biomedical Research
IT support for healthcare processes - premises, challenges, perspectives
Data & Knowledge Engineering
Towards pragmatic patterns for clinical knowledge management
ICPW '07 Proceedings of the 2nd international conference on Pragmatic web
The Origin, Representation, and Use of Collaboration Patterns in a Medical Community of Practice
WSKS '08 Proceedings of the 1st world summit on The Knowledge Society: Emerging Technologies and Information Systems for the Knowledge Society
Position paper: The coming of age of artificial intelligence in medicine
Artificial Intelligence in Medicine
AIME '09 Proceedings of the 12th Conference on Artificial Intelligence in Medicine: Artificial Intelligence in Medicine
Case-based retrieval to support the treatment of end stage renal failure patients
Artificial Intelligence in Medicine
Temporal data mining for the quality assessment of hemodialysis services
Artificial Intelligence in Medicine
Predicting the outcome of patients with subarachnoid hemorrhage using machine learning techniques
IEEE Transactions on Information Technology in Biomedicine - Special section on computational intelligence in medical systems
Introducing pattern reuse in the design of multi-agent systems
NODe'02 Proceedings of the NODe 2002 agent-related conference on Agent technologies, infrastructures, tools, and applications for E-services
In Memoriam: Professor Mario Stefanelli (1945-2010)
Journal of Biomedical Informatics
Artificial Intelligence in Medicine
IT support for healthcare processes
BPM'05 Proceedings of the 3rd international conference on Business Process Management
Artificial Intelligence in Medicine
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The increasing pressure on Health Care Organizations (HCOs) to ensure efficiency and cost-effectiveness, balancing quality of care and cost containment, will drive them towards a more effective management of medical knowledge derived from research findings. The relation between science and health services has until recently been too casual. The primary job of medical research has been to understand the mechanisms of disease and produce new treatments, not to worry about the effectiveness of the new treatments or their implementation. As a result many new treatments have taken years to become part of routine practice, ineffective treatments have been widely used, and medicine has been opinion rather than evidence based. This results in suboptimal care for patients. Knowledge management technology may provide effective approaches in speeding up the diffusion of innovative medical procedures whose clinical effectiveness have been proved: the most interesting one is represented by computer-based utilization of evidence-based clinical guidelines. As researchers in Artificial Intelligence in Medicine (AIM), we are committed to foster the strategic transition from opinion to evidence-based decision making. Reviews of the effectiveness of various methods of guideline dissemination show that the most predictable impact is achieved when the guideline is made accessible through computer-based and patient specific reminders that are integrated into the clinician's workflow. However, the traditional single doctor-patient relationship is being replaced by one in which the patient is managed by a team of health care professionals, each specializing in one aspect of care. Such shared care depends critically on the ability to share patient-specific information and medical knowledge easily among them. Strategically there is a need to take a more clinical process view of health care delivery and to identify the appropriate organizational and information infrastructures to support this process. Thus, the great challenge for AIM researchers is to exploit the astonishing capabilities of new technologies to disseminate their tools to benefit HCOs by assuring the conditions of knowledge management and organizational learning at the fullest extent possible. To achieve such a strategic goal, a guideline can be viewed as a model of the care process. It must be combined with an organization model of the specific HCO to build patient careflow management systems. Artificial intelligence can be extensively used to design innovative tools to support all the development stages of those systems. However, exploiting the knowledge represented in a guideline to build them requires to extend today's workflow technology by solving some challenging problems.