Important dates

Deadline for paper submissions:
14 May 2010 (extended)
Notification of acceptance:
14 June 2010
Final camera-ready manuscripts:
28 June 2010
Workshop:
17 August 2010

Submit and manage your papers here

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 patient data, guidelines and medical processes. Special focus is on electronic patient data/record. After many years of promise, we finally begin to see a widespread deployment of electronic patient records and dossiers. The scope of the workshop includes, but is not limited to, the following areas:

Electronic health record related subjects:

  • The use of ontologies, conceptual models and medical vocabularies for linking computerized guidelines and protocols to EHRs
  • Evaluation of quality and safety of computerized guidelines in the light of EHR data
    • Compliance of guidelines or protocols against EHRs
      • Data and knowledge integration and interoperability for health-care processes, guidelines and protocols
        • Deployments of computerized guidelines and protocols with EHRs
        • Temporal knowledge representations and exploitation from patient data
        • Procedural knowledge extraction from health-care databases

Clinical-processes and guidelines related topics:

  • Knowledge representation and ontologies for health-care processes
  • Formalization of medical processes and knowledge-based health-care models
  • The use of ontologies, conceptual models and medical vocabularies for representing descriptive and procedural medical knowledge
  • Combining medical guidelines with care pathways, workflows, and the care delivery process
  • Knowledge combination, personalisation and adaptation for health care processes
  • Digital libraries and repositories of health-care procedural knowledge, guidelines and protocols
  • Methods and tools for change and version management of descriptive and procedural medical knowledge
  • The impact of evidence-based medicine on the development and representation of descriptive and procedural medical knowledge
  • Acquisition, refinement and exploration of the temporal aspect of guidelines and protocols
  • Knowledge-based learning of health-care processes (e.g., data mining form guideline construction)
  • Techniques for simulating computerized guidelines
  • Natural-language processing to extract medical knowledge
  • Verification of represented healthcare knowledge