AIMC Topic: Mandatory Reporting

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Efficient identification of nationally mandated reportable cancer cases using natural language processing and machine learning.

Journal of the American Medical Informatics Association : JAMIA Mar 28, 2016
OBJECTIVE: To help cancer registrars efficiently and accurately identify reportable cancer cases.
Humans Machine Learning Electronic Health Records Neoplasms United States Natural Language Processing Data Mining International Classification of Diseases Pathology, Clinical Mandatory Reporting
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Screening Electronic Health Record-Related Patient Safety Reports Using Machine Learning.

Journal of patient safety Mar 1, 2017
INTRODUCTION: The objective of this study was to develop a semiautomated approach to screening cases that describe hazards associated with the electronic health record (EHR) from a mandatory, population-based patient safety reporting system.
Humans Machine Learning Algorithms Patient Safety Databases, Factual Electronic Health Records Bayes Theorem Data Mining Medical Informatics Automation Pennsylvania Mandatory Reporting
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