HIMAS 2020 - International Workshop on Healthcare Intelligent Multi-Agent Systems

The International Workshop on Healthcare Intelligent Multi-Agent Systems (HIMAS) 2020. Auckland, New Zealand. 9-13th May 2020.

• The workshop will be run on May 8th, 2020 in Vritual Mode

Aims and scope of HIMAS

This HIMAS workshop will run as part of the [Nineteenth International Conference on Autonomous Agents and Multi-Agent Systems] (AAMAS2020), as shown on list of accepted workshops.Submissions should concern the use of software agents (either bound to physical devices or not) in the healthcare context, e.g.: equipment and drug inventory management, patients clinical record and follow-up management, patient monitoring in hospital or at home, planning patient transportation and interventions, etc.In Greek Mythology, Himas is the father of Plouto and grandfather of Tantalus.

Topics of interest

• Agent-based methods for medical image segmentation or classification
• Agent-based decision support systems for disease diagnosis
• Agent-based medical data processing, such as EMR management and exchange, healthcare data streams from Internet of Things, HIS interoperability and integration
• Mobile agents in hospital environments
• Patient empowerment and chronic disease self-management through personalized agent-based systems and models
• Intelligent agents that provide autonomous and remote care delivery
• Clinical agent-based decision support systems, including recommender systems
• Conversational agents and personal digital assistants for patient empowerment
• Intelligent agents delivering information about discovery, lookup, fruition of medical services
• Intelligent agents for patient monitoring and assisting diagnosis
• Agent-based information retrieval for gathering, aggregating, processing, and organizing various medical data available on Internet
• Legal and ethical issues related to the use of software agents in health care
• Surveys providing an up to date view of the state of the art in the area of agents in health care
• Agent technology for preference learning as in the case of personal activity trainers
• Agent technology for resource planning and task allocation in hospital environment