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- research-articleJuly 2020
Knowledge Extraction from Healthcare Data Using User-Adaptable Keywords-Based Query Language
ICISDM '20: Proceedings of the 2020 the 4th International Conference on Information System and Data MiningPages 128–131https://doi.org/10.1145/3404663.3406876Nowadays, the volume of the information gathered by any organization increases more and more rapidly. It is essential to be able to use this information efficiently for it to benefit the operation of the organization. There is no point of gathering the ...
- research-articleJanuary 2020
Application of a hybrid data mining model to identify the main predictive factors influencing hospital length of stay
International Journal of Business Intelligence and Data Mining (IJBIDM), Volume 16, Issue 3Pages 313–323https://doi.org/10.1504/ijbidm.2020.106131Length of hospital stay is one of the most appropriate measures that can be used for management of hospital resources and assistant of hospital admissions. The main predictive factors associated with the length of stay are critical requirements and should ...
- research-articleMay 2019
Patient Food Delivery Error in the Hospital: A Case Study in Thailand
MSIE '19: Proceedings of the 2019 International Conference on Management Science and Industrial EngineeringPages 151–156https://doi.org/10.1145/3335550.3335562Food service provided in hospitals has considerable significance, as it is part of the medical treatment. In a sample hospital, food delivery error occupied 37.4% which was the highest complaint among all problems in 2017. This problem has never been ...
- research-articleApril 2019
Natural Language-Based Knowledge Extraction in Healthcare Domain
ICISDM '19: Proceedings of the 2019 3rd International Conference on Information System and Data MiningPages 138–142https://doi.org/10.1145/3325917.3325948There is a growing amount of data in the databases of hospitals. These data could be exploited to alleviate the decision-making process of hospital managers, physicians and researchers. However, these types of end-users often lack the expertise ...
- research-articleMay 2018
Towards a natural language-based interface for querying hospital data
ICBDT '18: Proceedings of the 1st International Conference on Big Data TechnologiesPages 25–28https://doi.org/10.1145/3226116.3226133There is a growing necessity in various domains for non-programmers to be able to retrieve information gathered about the operation of the organization and stored in its databases. This information could hugely benefit the decision making process of the ...
- research-articleAugust 2017
A business dashboard design approach to support the three levels of situation awareness
IHM '17: Proceedings of the 29th Conference on l'Interaction Homme-MachinePages 33–41https://doi.org/10.1145/3132129.3132130A management dashboard is a visual tool used by managers to monitor organizational performance. It involves displaying information about the state of the organization to decision-making. A management dashboard must thus enable the manager to obtain a ...
- research-articleOctober 2015
Analytics for Hospital Management
ASE BD&SI '15: Proceedings of the ASE BigData & SocialInformatics 2015Article No.: 15, Pages 1–6https://doi.org/10.1145/2818869.2818894This paper proposes analytics for hospital management by using big data stored in a hospital information system. The key idea is analytics based on temporal information, whose visualization captures what domain experts cannot grasp from the raw data. ...
- posterJuly 2011
An ant colony optimization approach for efficient admission scheduling of elective inpatients
GECCO '11: Proceedings of the 13th annual conference companion on Genetic and evolutionary computationPages 15–16https://doi.org/10.1145/2001858.2001867This paper proposes an ant colony optimization (ACO) approach to offer online decision support for making admission plans of inpatients. The approach considers patients' severity degrees and urgency levels, aiming to find an admission plan that offers ...
- research-articleApril 2008
Maximizing cardiac surgery throughput at a major hospital
A simulation model is used to analyze the bed mix for a cardiac surgery intensive care unit and its step-down unit. The model uses historical length of stay data from more than 1,700 cardiac surgery encounters to estimate the maximum capacity of a 30 ...
- articleMay 2007
Use of Coloured Petri Net models in planning, design, and simulation of intelligent wireless medical device networks for safe and flexible hospital capacity management
International Journal of Networking and Virtual Organisations (IJNVO), Volume 4, Issue 2Pages 118–129https://doi.org/10.1504/IJNVO.2007.013538US hospitals often now operate at full capacity, frequently causing incoming ER patients to be staged in ER hallways or detoured to more distant facilities. The process of moving patients from the ER is complex, requiring matching of resources to the ...
- articleOctober 2004
Cost Accounting by Diagnosis in a Japanese University Hospital
Journal of Medical Systems (JMSY), Volume 28, Issue 5Pages 437–445https://doi.org/10.1023/B:JOMS.0000041170.66181.f2Cost accounting according to diagnoses covering approximately 600 inpatients with 64 diseases in 20 departments of Kumamoto University was carried out. The reports of these results were automatically generated and used for individual departmental ...