INTRODUCTION: When applied to medicine, Artificial Intelligence traditionally aims at providing solutions to concrete medical problems in decision support in diagnosis, treatment or prognosis, but never to support health care as a whole multi-disciplinary collaborative and multi-located process. Knowledge is, surely, a central component in the construction of future Information Society Technologies (IST) health care systems that shall be sustained on the combination of several components as computer-interpretable versions of bio-medical Ontologies, Electronic Health Care Records, and Clinical Practice Guidelines. The workshop is intended to provide a platform for the interaction of CS & AI scientists, knowledge engineers and physicians. The participants will have a chance to discuss and provide advances in the integration and the interaction of the above mentioned components in computer intelligent systems that face the problem of health care as a whole, from a knowledge perspective.
CONTRIBUTIONS: Original contributions are sought on the identification of current unsolved health-care weaknesses in a global context (e.g. national healthcare system, home care, etc.), accompanied with the proposal of innovative artificial intelligence solutions based on the formal representation of health-care knowledge. This includes Knowledge-Based Health-Care IST Models with strong connections with Artificial Intelligence, Health-Care Knowledge Representation (e.g. Ontologies) to efficiently solve or palliate health-care needs, new advances on the Electronic Healthcare Records to support Knowledge Engineering in health-care systems, Intelligent Data Analysis and Machine Learning algorithms to discover and make explicit either the Descriptive and the Procedural Knowledge of the practices in medicine, and Knowledge-Based Applications in Health-Care that combine several artificial intelligence technologies in the solution of complex medical and organisational health-care situations in practice.
Organisers will expect works that cover from clinical needs in a global context to the technical solutions rather than the application of already artificial intelligence paradigms to a medical problem. It is neither a workshop aiming at a particular artificial intelligence area (e.g. knowledge engineering or data mining) and its application in medicine, nor a workshop on a particular healthcare need (e.g. diagnosis or prognosis) and the application of artificial intelligence technologies to it. On the contrary, the workshop will foster works with both a strong formal description of a real health-care multi-disciplinary problem, and also a technically valuable solution oriented towards the application of knowledge formal structures by artificial intelligence techniques. Multidisciplinary collaborations between healthcare professionals and computer science professionals are encouraged; the former describing, justifying, and formalising a healthcare need and the latter proposing an artificial intelligence solution satisfying health-care quality usage requirements.
OBJECTIVE: The main objective of the workshop is to propose knowledge-based solutions to real health-care problems by means of the collaboration between health-care and IST professionals: Health-care professionals providing a realistic view of current problems in health-care and also analysing the implications of the application of the knowledge-based solutions that the IST professionals provide.