|Objectives||The objectives of this session is to share the basic concept and detailed design and implementation of Intelligent Medical Platform that is a platform to support services on top of the incremental learning based on evolutionary knowledge bases from diverse sources by integrating legacy systems with multiple data formats, supported by clinical standard-inspired big data persistence. The system is fitted out with dialogue environment in the form of text, voice, and image to physicians and patients during treatment, diagnosis and health related recommendations, alerts, coaching, and education. It overcomes the existing systems limitations in terms of evolutionary knowledge base, dialoging ability of interaction, integration with legacy healthcare systems such as hospital information and management systems (HMIS), and handling multimodal data from diverse input sources|
|Target Audience||Computer/Network Engineer, Medical Doctors|
|Activity Co-ordinator(s)||Sunmoo Kang, Computer Engineering Department, Kyung Hee University, Republic of Korea|
|Expected No. of Participants:||30|
|Time:||09:00 - 12:30|
|Trainer(s):||Sunmoo Kang, Computer Engineering Department, Kyung Hee University, Republic of Korea|
|1. ||Overview of Intelligent Medical Platform|
Introduction and overview of the Intelligent Medical Platform which is the overall topic of this workshop.
|2. ||Silo of Intelligent Medical Platform|
Introduction of the Silo concept on the Intelligent Medical Platform for smart healthcare services.
|3. ||Interoperability of medical system|
Wajahat Ali Khan
Introduction of the interoperability in medical system and its importance.