AIMC Topic: Hospital Administration
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Clinician involvement in research on machine learning-based predictive clinical decision support for the hospital setting: A scoping review.
Journal of the American Medical Informatics Association : JAMIA
Mar 1, 2021
OBJECTIVE: The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic healt...
Measuring Boards Using Quantitative Tools from Natural Language Processing.
Healthcare quarterly (Toronto, Ont.)
Oct 1, 2020
Natural language processing (NLP) tools provide quantitative methods to analyze board minutes and better understand and measure the work of the board. Techniques such as riverbed graphs and sentiment analysis provide objective, measurable information...
Connecting Data to Insight: A Pan-Canadian Study on AI in Healthcare.
Healthcare quarterly (Toronto, Ont.)
Apr 1, 2020
Across Canada, healthcare leaders are exploring the potential of artificial intelligence and advanced analytics to transform the healthcare system. This report shares a summary of the current state of healthcare analytics across major hospitals and p...
[New Model for Intelligent Imaging Screening of Pulmonary Nodules].
Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation
May 30, 2019
The artificial intelligence based on medical aid diagnosis has been in full swing in these years. How to better and more safely utilize this new technology to improve the diagnostic efficiency and quality of doctors poses new challenges for our hospi...
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...
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