Institute for Information Industry

Chin-Cheng Wu

Chih-hao Hsu

Han-Chao Lee

Tse-Ming Tsai

Jacob Guo

Yi-Chen Lu

Tong-Ming Hsu

Chun-Chieh Liao

A method for patient risk level evaluation is provided, implemented with a remote medical care center. The remote medical care center connects with a plurality of health care locations at various locations over a network. Patient data of a plurality of patients is received from the plurality of health care locations via the network. An occurred event for each patient is determined, and each of the occurred events is classified into deteriorating or ameliorating category. The patients corresponding to the same events are sorted into a group, and the patients within the group are ranked according to severity of illness of each patient. A risk score for each patient is determined according to the corresponding event. Patient ranking orders corresponding to the events of the deteriorating and the ameliorating category are generated and displayed.

Method and system for patient risk level evaluation

A priority-based data message publishing method according to a data message chain can be implemented by receiving a data message, wherein the data message has an original priority. Then, judge whether there is a corresponding data message chain corresponding to the data message. When there is a corresponding data message chain, add the data message to the back of the corresponding data message chain to obtain a revised data message chain. When there is no corresponding data message chain the data message, add a new data message chain, and add the data message to the back of the new data message chain to obtain a revised data message chain. Next, rule-operate the revised data message chain to obtain a dynamic priority of the data message. Replace the original priority with the dynamic priority to obtain a revised data message. Publish the revised data message according to the dynamic priority.

Priority-based data message publishing method and system according to a data message chain

A method for dynamic event matching. A domain model for each domain is defined. Individual requirements and preferences of a user are modeled to create a personal model. Dynamic requirements of a specific domain for the user are modeled. A dynamic event is generated. The dynamic event is obtained using an information server for format transformation to create an event model. The personal model is matched with the event model using a content-based method according to the domain model and the dynamic event. The user is informed of the matching results. The matching results are adjusted according to user feedback.

Method and system for dynamic event matching

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Guishan Shiang, Taiwan

Chin-Cheng Wu