Call for papers
Workshop on AI techniques in healthcare:
evidence-based guidelines and protocols
In conjunction with ECAI 2006
Description
In recent years, medical guidelines and protocols have become the main
instruments for disseminating best practices in clinical medicine.
They promote safe practices, reduce inter-clinician practice
variations and support decision-making in patient care while
containing the costs of care. So far, they have been proved useful in
improving the quality and consistency of healthcare, by supporting
healthcare quality assessment and assurance, clinical decision,
workflow and resource management, etc. The benefits of using
clinical guidelines are widely recognized, yet the guideline development
process is time- and resource-consuming, and the size and complexity of
guidelines remains a major hurdle for effectively using them in clinical
care.
This is why many organizations develop today computerized guidelines as
well as decision support systems that incorporate these guidelines.
Computerized protocols can be generated based on guidelines, ensuring
that at the point-of-care patient-specific evidence-based therapy
instructions that can be carried out with little or no inter-clinician
variability.
Several methods have been or are being developed to support the
development, deployment, maintenance and use of evidence-based
guidelines, using techniques from Artificial Intelligence, Software
Engineering, Medical Informatics and Formal Methods. Such methods
employ different representation formalisms and computational techniques:
rule-based, logic-based, knowledge-based or workflow-based. Despite the
guideline-related research spanning a large range of the AI research
community, as well as other research areas, a comprehensive integration
of the results of these communities is still lacking.
Aim
Due to the large interest in this inter-disciplinary effort to
integrate the results of different communities on guideline
development, deployment, and use, and following successes of
similar workshops and conferences
(SCGP,
Leipzig, 2000,
SCGP, Prague
2004,
AIME track, Aberdeen
2005),
this workshop will bring together researchers from different
branches of AI to examine cutting-edge approaches to guideline
modeling and development and to consider how different
communities can cooperate to address these challenges.
List of topics
Original contributions are sought, regarding the development of theory,
techniques, and use cases of Artificial Intelligence in the area of
health care, particularly connected to guideline and protocols.
The scope of the workshop includes, but is not limited to, the
following areas:
- The use of ontologies, conceptual models and medical
vocabularies in computerized guidelines and protocols
- Standardization of guideline models and interfaces to clinical
information systems
- Guideline mark-up languages, document models, and their uses
- Acquisition, refinement and exploration of the temporal aspect of
guidelines and protocols
- Supporting the life cycle of guidelines and protocols
- Guideline workbenches and visualization methods
- Guideline and protocol validation and verification
- Use of formal and simulation techniques in computerized guidelines
- Use cases for computerized guidelines and protocols
- Integration of computerized guidelines and the care delivery process
- Use of guidelines for quality assessment and for critiquing
- Evaluation of quality and safety of computerized guidelines
- Medical decision support systems
- Machine learning methods, data mining and statistical
models to support authoring and maintenance of medical protocols
- Tools for supporting authoring, execution and maintenance of
protocols and guidelines
- Support for natural language generation and understanding in
connection with medical protocols and guidelines
- Interoperability of clinical guidelines
- Knowledge management in guidelines and protocols
- Case-studies and overviews of modelling, simulation and verification
frameworks for guidelines and protocols
Schedule
- Deadline for paper submissions: 15 April 2006
- Notification of acceptance: 10 May 2006
- Final camera-ready manuscripts: 24 May 2006
- Workshop date: 29 August 2006
Submission Guidelines
Submissions should be made by email to the workshop co-chair
Annette ten Teije (annette@cs.vu.nl)
in PDF format, and should follow the
Springer format
There are two categories of paper submissions:
- Full research papers (up to 10 pages)
- Short papers (up to 5 pages) that are
- short research papers
- demonstration of implemented systems
If sufficient quality is available among the workshop submissions,
we will investigate publication of selected papers as part of
the LNAI Springer series.
Program
Schedule workshop (pdf)
Schedule workshop & electronic papers
Camera-ready Guidelines
- Final Formatting:
The style should be the same as that of the main conference
( ECAI-format),
- Length of the paper (research/demo): up to 6 pages in ECAI style format
- The final paper should be sent in PDF-format to annette@cs.vu.nl by May 24th to the latest.
ECAI registration rules
- The workshop attendants are required to register to the main conference also.
- People presenting a paper in a workshop are required to register by the
EARLY registration deadline.
- All registrations should be done through the ECAI registration website.
Workshop Organising Committee
- Annette ten Teije, Vrije Universiteit, The Netherlands (co-chair)
- Peter Lucas, Radboud University, Nijmegen, The Netherlands (co-chair)
- Silvia Miksch, Vienna University of Technology & Danube University Krems, Austria (co-chair)
Contact details:
Annette ten Teije (annette@cs.vu.nl)
Department of AI, Faculty of Sciences,
Vrije Universiteit Amsterdam
de Boelelaan 1081a, 1081HV Amsterdam, The Netherlands
tel (+31)-20-598 7721/7483
Program Committee
- Michael Balser, University of Augsburg, Germany
- Paul de Clercq, University of Maastricht, The Netherland
- Subrata Das, Charles River Analytics, USA
- John Fox, Cancer Research, UK
- David Glasspool, Cancer Research, UK
- Robert Greenes, Harvard University, USA
- Frank van Harmelen, Vrije Universiteit Amsterdam, The Netherlands
- Jim Hunter, University of Aberdeen, Scotland
- Mar Marcos, Universitat Jaume I, Castellon, Spain
- Lucila Ohno-Machado, Harvard Medical School, USA
- Mor Peleg, Haifa University, Israel
- Silvana Quaglini, University of Pavia, Italy
- Wolfgang Reif, University of Augsburg, Germany
- Kitty Rosenbrand, Dutch Institute for Healthcare Improvement (CBO), The Netherlands
- Radu Serban, Vrije Universiteit Amsterdam, The Netherlands
- Brigitte Seroussi, STIM, DPA/DSI/AP-HP, France
- Andreas Seyfang, Vienna University of Technology, Austria
- Yuval Shahar, Ben-Gurion University, Israel
- Paolo Terenziani, Univ. del Piemonte Orientale Amedeo Avogadro, Italy
- Samson Tu, Stanford University, USA
- Dongwen Wang, University of Rochester, USA
- Jeremy Wyatt, National Institute of Clinical Excellence, UK