AIMC Topic: Documentation
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Assessment of the Feasibility of automated, real-time clinical decision support in the emergency department using electronic health record data.
BMC emergency medicine
Jul 3, 2018
BACKGROUND: The use of big data and machine learning within clinical decision support systems (CDSSs) has the potential to transform medicine through better prognosis, diagnosis and automation of tasks. Real-time application of machine learning algor...
Evaluating the Efficiency and Safety of Speech Recognition within a Commercial Electronic Health Record System: A Replication Study.
Applied clinical informatics
May 16, 2018
OBJECTIVE: To conduct a replication study to validate previously identified significant risks and inefficiencies associated with the use of speech recognition (SR) for documentation within an electronic health record (EHR) system.
Leveraging Wikipedia knowledge to classify multilingual biomedical documents.
Artificial intelligence in medicine
May 3, 2018
This article presents a classifier that leverages Wikipedia knowledge to represent documents as vectors of concepts weights, and analyses its suitability for classifying biomedical documents written in any language when it is trained only with Englis...
Electronic Surveillance For Catheter-Associated Urinary Tract Infection Using Natural Language Processing.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
Catheter-associated urinary tract infection (CAUTI) is a common and costly healthcare-associated infection, yet measuring it accurately is challenging and resource-intensive. Electronic surveillance promises to make this task more objective and effic...
Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
As individuals age, there is potential for dramatic changes in the social and behavioral determinants that affect health status and outcomes. The importance of these determinants has been increasingly recognized in clinical decision-making. We sought...
Open Globe Injury Patient Identification in Warfare Clinical Notes.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Apr 16, 2018
The aim of this study is to utilize the Defense and Veterans Eye Injury and Vision Registry clinical data derived from DoD and VA medical systems which include documentation of care while in combat, and develop methods for comprehensive and reliable ...
Evaluating Report Text Variation and Informativeness: Natural Language Processing of CT Chest Imaging for Pulmonary Embolism.
Journal of the American College of Radiology : JACR
Feb 13, 2018
OBJECTIVE: The aim of this study was to quantify the variability of language in free text reports of pulmonary embolus (PE) studies and to gauge the informativeness of free text to predict PE diagnosis using machine learning as proxy for human unders...
Assisting document triage for human kinome curation via machine learning.
Database : the journal of biological databases and curation
Jan 1, 2018
In the era of data explosion, the increasing frequency of published articles presents unorthodox challenges to fulfill specific curation requirements for bio-literature databases. Recognizing these demands, we designed a document triage system with a...
Information extraction from Italian medical reports: An ontology-driven approach.
International journal of medical informatics
Dec 23, 2017
OBJECTIVE: In this work, we propose an ontology-driven approach to identify events and their attributes from episodes of care included in medical reports written in Italian. For this language, shared resources for clinical information extraction are ...
Comparison Between Manual Auditing and a Natural Language Process With Machine Learning Algorithm to Evaluate Faculty Use of Standardized Reports in Radiology.
Journal of the American College of Radiology : JACR
Dec 18, 2017
PURPOSE: When implementing or monitoring department-sanctioned standardized radiology reports, feedback about individual faculty performance has been shown to be a useful driver of faculty compliance. Most commonly, these data are derived from manual...
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