AIMC Topic: Electronic Health Records

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Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.

Applied clinical informatics May 20, 2015
BACKGROUND: Clinical knowledge bases of problem-medication pairs are necessary for many informatics solutions that improve patient safety, such as clinical summarization. However, developing these knowledge bases can be challenging.
Crowdsourcing Knowledge Bases Humans Drug Therapy, Computer-Assisted Academic Medical Centers Electronic Health Records
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A formal concept analysis and semantic query expansion cooperation to refine health outcomes of interest.

BMC medical informatics and decision making May 20, 2015
BACKGROUND: Electronic Health Records (EHRs) are frequently used by clinicians and researchers to search for, extract, and analyze groups of patients by defining Health Outcome of Interests (HOI). The definition of an HOI is generally considered a co...
Biological Ontologies Medical Informatics Semantics Electronic Health Records Humans Outcome Assessment, Health Care
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Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE).

Journal of biomedical informatics May 13, 2015
OBJECTIVE: This paper describes the University of Michigan's nine-year experience in developing and using a full-text search engine designed to facilitate information retrieval (IR) from narrative documents stored in electronic health records (EHRs)....
Electronic Health Records Natural Language Processing Software Search Engine Meaningful Use Data Mining Software Validation Michigan
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Point-of-Care Knowledge-Based Resource Needs of Clinicians: A Survey from a Large Academic Medical Center.

Applied clinical informatics May 6, 2015
OBJECTIVE: To better understand the literature searching preferences of clinical providers we conducted an institution-wide survey assessing the most preferred knowledge searching techniques.
Time Factors Knowledge Bases Point-of-Care Systems Surveys and Questionnaires Health Personnel Electronic Health Records Habits Academic Medical Centers Evidence-Based Practice
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Toward high-throughput phenotyping: unbiased automated feature extraction and selection from knowledge sources.

Journal of the American Medical Informatics Association : JAMIA Apr 29, 2015
OBJECTIVE: Analysis of narrative (text) data from electronic health records (EHRs) can improve population-scale phenotyping for clinical and genetic research. Currently, selection of text features for phenotyping algorithms is slow and laborious, req...
Humans Information Storage and Retrieval Algorithms Arthritis, Rheumatoid Unified Medical Language System Electronic Health Records Natural Language Processing
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Automated misspelling detection and correction in clinical free-text records.

Journal of biomedical informatics Apr 24, 2015
Accurate electronic health records are important for clinical care and research as well as ensuring patient safety. It is crucial for misspelled words to be corrected in order to ensure that medical records are interpreted correctly. This paper descr...
Word Processing Vocabulary, Controlled Meaningful Use Machine Learning Electronic Health Records Data Accuracy Natural Language Processing Quality Assurance, Health Care
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Development of phenotype algorithms using electronic medical records and incorporating natural language processing.

BMJ (Clinical research ed.) Apr 24, 2015
Electronic medical records are emerging as a major source of data for clinical and translational research studies, although phenotypes of interest need to be accurately defined first. This article provides an overview of how to develop a phenotype al...
Interdisciplinary Communication Translational Research, Biomedical Information Storage and Retrieval Algorithms Phenotype Electronic Health Records Natural Language Processing Humans
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Automated methods for the summarization of electronic health records.

Journal of the American Medical Informatics Association : JAMIA Apr 15, 2015
OBJECTIVES: This review examines work on automated summarization of electronic health record (EHR) data and in particular, individual patient record summarization. We organize the published research and highlight methodological challenges in the area...
Natural Language Processing Humans Information Storage and Retrieval Electronic Health Records
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Non-redundant association rules between diseases and medications: an automated method for knowledge base construction.

BMC medical informatics and decision making Apr 15, 2015
BACKGROUND: The widespread use of electronic health records (EHRs) has generated massive clinical data storage. Association rules mining is a feasible technique to convert this large amount of data into usable knowledge for clinical decision making, ...
Humans Natural Language Processing Knowledge Bases Data Mining Electronic Health Records Cardiovascular Diseases
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Normalization of relative and incomplete temporal expressions in clinical narratives.

Journal of the American Medical Informatics Association : JAMIA Apr 12, 2015
OBJECTIVE: To improve the normalization of relative and incomplete temporal expressions (RI-TIMEXes) in clinical narratives.
Time Humans Electronic Health Records Narration Natural Language Processing
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