AIMC Topic: Electronic Health Records

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Development and Preliminary Evaluation of a Prototype of a Learning Electronic Medical Record System.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Electronic medical records (EMRs) are capturing increasing amounts of data per patient. For clinicians to efficiently and accurately understand a patient's clinical state, better ways are needed to determine when and how to display EMR data. We built...
Physicians Electronic Health Records Intensive Care Units Critical Care Humans Machine Learning
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A Data Quality Ontology for the Secondary Use of EHR Data.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
The secondary use of EHR data for research is expected to improve health outcomes for patients, but the benefits will only be realized if the data in the EHR is of sufficient quality to support these uses. A data quality (DQ) ontology was developed t...
Data Accuracy Humans Biological Ontologies Electronic Health Records
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Automated Classification of Consumer Health Information Needs in Patient Portal Messages.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Patients have diverse health information needs, and secure messaging through patient portals is an emerging means by which such needs are expressed and met. As patient portal adoption increases, growing volumes of secure messages may burden healthcar...
Humans Electronic Health Records Health Services Needs and Demand Consumer Health Information Patient Portals Health Resources Natural Language Processing
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Using a Clinical Knowledge Base to Assess Comorbidity Interrelatedness Among Patients with Multiple Chronic Conditions.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Decision support tools increasingly integrate clinical knowledge such as medication indications and contraindications with electronic health record (EHR) data to support clinical care and patient safety. The availability of this encoded information a...
Comorbidity Diabetes Mellitus Knowledge Bases Multiple Chronic Conditions Decision Support Techniques Electronic Health Records Humans
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Handling Temporality of Clinical Events for Drug Safety Surveillance.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective ...
Electronic Health Records Drug-Related Side Effects and Adverse Reactions Algorithms Product Surveillance, Postmarketing Databases, Factual Humans Machine Learning
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Finding Cervical Cancer Symptoms in Swedish Clinical Text using a Machine Learning Approach and NegEx.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Detection of early symptoms in cervical cancer is crucial for early treatment and survival. To find symptoms of cervical cancer in clinical text, Named Entity Recognition is needed. In this paper the Clinical Entity Finder, a machine-learning tool tr...
Uterine Cervical Neoplasms Natural Language Processing Data Curation Female Sweden Machine Learning Electronic Health Records Humans
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Towards a Generalizable Time Expression Model for Temporal Reasoning in Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Accurate temporal identification and normalization is imperative for many biomedical and clinical tasks such as generating timelines and identifying phenotypes. A major natural language processing challenge is developing and evaluating a generalizabl...
Time Electronic Health Records Natural Language Processing Humans
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Data-driven Temporal Prediction of Surgical Site Infection.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Analysis of data from Electronic Health Records (EHR) presents unique challenges, in particular regarding nonuniform temporal resolution of longitudinal variables. A considerable amount of patient information is available in the EHR - including blood...
Humans Support Vector Machine Surgical Wound Infection Machine Learning Electronic Health Records Digestive System Surgical Procedures
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A Study of Concept Extraction Across Different Types of Clinical Notes.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
Our research investigates methods for creating effective concept extractors for specialty clinical notes. First, we present three new "specialty area" datasets consisting of Cardiology, Neurology, and Orthopedics clinical notes manually annotated wit...
Datasets as Topic Electronic Health Records Information Storage and Retrieval Natural Language Processing Unified Medical Language System Humans
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Reviewing 741 patients records in two hours with FASTVISU.

AMIA ... Annual Symposium proceedings. AMIA Symposium Nov 5, 2015
The secondary use of electronic health records opens up new perspectives. They provide researchers with structured data and unstructured data, including free text reports. Many applications been developed to leverage knowledge from free-text reports,...
User-Computer Interface Humans Natural Language Processing Software Data Mining Electronic Health Records Internet France Autoimmune Diseases
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