AIMC Topic: Hospital Information Systems

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Technical Environment for Developing the SNIK Ontology of Information Management in Hospitals.

Studies in health technology and informatics Jan 1, 2017
The SNIK project converts textbooks about information management in hospitals to a domain ontology that provides a shared vocabulary for institutions to model and integrate processes, data and infrastructure. To accommodate user groups with different...
Humans Biological Ontologies Vocabulary, Controlled Hospital Information Systems Information Management
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[Clinical analysis of Cervus and Cucumis Polypeptide injection based on real world hospital information system].

Zhongguo Zhong yao za zhi = Zhongguo zhongyao zazhi = China journal of Chinese materia medica Nov 1, 2016
To analyze the clinical application of Cervus and Cucumis Polypeptide injection in the real world, in order to define the characteristics of clinical drug use and correlation, and provide reference for risk management and further study for Cervus and...
Humans Animals Peptides China Medicine, Chinese Traditional Fractures, Bone Drugs, Chinese Herbal Injections Materia Medica Cucumis Deer Drug Utilization Hospital Information Systems
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A machine learning framework for auto classification of imaging system exams in hospital setting for utilization optimization.

Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Aug 1, 2016
In clinical environment, Interventional X-Ray (IXR) system is used on various anatomies and for various types of the procedures. It is important to classify correctly each exam of IXR system into respective procedures and/or assign to correct anatomy...
Humans Neural Networks, Computer Machine Learning Algorithms Hospitals Support Vector Machine Decision Trees Appointments and Schedules Pattern Recognition, Automated Hospital Information Systems Radiology, Interventional X-Rays
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Improving Hospital-Wide Early Resource Allocation through Machine Learning.

Studies in health technology and informatics Jan 1, 2015
The objective of this paper is to evaluate the extent to which early determination of diagnosis-related groups (DRGs) can be used for better allocation of scarce hospital resources. When elective patients seek admission, the true DRG, currently deter...
Machine Learning Natural Language Processing Data Mining Quality Improvement Hospital Information Systems Needs Assessment Diagnosis-Related Groups Health Care Rationing Hospital Administration
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Automated Classification of Clinical Incident Types.

Studies in health technology and informatics Jan 1, 2015
We consider the task of automatic classification of clinical incident reports using machine learning methods. Our data consists of 5448 clinical incident reports collected from the Incident Information Management System used by 7 hospitals in the sta...
Machine Learning Reproducibility of Results Sensitivity and Specificity Risk Management Bayes Theorem Pattern Recognition, Automated Hospital Information Systems Medical Errors New South Wales
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