Background

Electronic medical record (EMR) system is information system, which is important for communicating structured medical data among hospital's stakeholders, such as physicians, nurses, and coders.

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Problem

Most of the EMR content is an unstructured data e.g. text, which is challenging issue to transform it into a high quality structured data and communicate it.

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Approach

Artifical Intelligence + Human-Computer Interaction

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RESEARCH

Toward intelligent hospital information system by studying human-agent interaction in communicating structured medical data via EMR system.

AI for Unstructured Data Recognition

This theme is mainly focus to study on why and how to harness EMR's unstructured data. The theme, which include, but are not limited to:

•Medical entity Recognition
•Medical note summarization
•Medical word-sense disambiguation

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Intelligent HCI

HCI

This theme is mainly focus to study on why and how to interactively communicate medical data between human and computer. The theme, which include, but are not limited to:

•Query assistant, e.g. autocompletion
•Writing assistant, e.g. smart compose
•Multimodal interaction