Concerning SNOMED-CT content for public health case reports.
Author(s): Wilcke, Jeffrey R, Green, Julie M, Spackman, Kent A, Martin, Michael K, Case, James T, Santamaria, Suzanne L, Zimmerman, Kurt
DOI: 10.1136/jamia.2010.003756
Author(s): Wilcke, Jeffrey R, Green, Julie M, Spackman, Kent A, Martin, Michael K, Case, James T, Santamaria, Suzanne L, Zimmerman, Kurt
DOI: 10.1136/jamia.2010.003756
To identify challenges in mapping internal International Classification of Disease, 9th edition, Clinical Modification (ICD-9-CM) encoded legacy data to Systematic Nomenclature of Medicine (SNOMED), using SNOMED-prescribed compositional approaches where appropriate, and to explore the mapping coverage provided by the US National Library of Medicine (NLM)'s SNOMED clinical core subset.
Author(s): Nadkarni, Prakash M, Darer, Jonathan A
DOI: 10.1136/jamia.2009.001057
We report how seven independent critical access hospitals collaborated with a rural referral hospital to standardize workflow policies and procedures while jointly implementing the same health information technologies (HITs) to enhance medication care processes. The study hospitals implemented the same electronic health record, computerized provider order entry, pharmacy information systems, automated dispensing cabinets (ADC), and barcode medication administration systems. We conducted interviews and examined project documents to explore factors underlying [...]
Author(s): Wakefield, Douglas S, Ward, Marcia M, Loes, Jean L, O'Brien, John
DOI: 10.1136/jamia.2010.004267
There is significant interest in leveraging the electronic medical record (EMR) to conduct genome-wide association studies (GWAS).
Author(s): Kullo, Iftikhar J, Fan, Jin, Pathak, Jyotishman, Savova, Guergana K, Ali, Zeenat, Chute, Christopher G
DOI: 10.1136/jamia.2010.004366
This paper presents Lancet, a supervised machine-learning system that automatically extracts medication events consisting of medication names and information pertaining to their prescribed use (dosage, mode, frequency, duration and reason) from lists or narrative text in medical discharge summaries.
Author(s): Li, Zuofeng, Liu, Feifan, Antieau, Lamont, Cao, Yonggang, Yu, Hong
DOI: 10.1136/jamia.2010.004077
Pharmacotherapy is an integral part of any medical care process and plays an important role in the medical history of most patients. Information on medication is crucial for several tasks such as pharmacovigilance, medical decision or biomedical research.
Author(s): Hamon, Thierry, Grabar, Natalia
DOI: 10.1136/jamia.2010.004036
The authors used the i2b2 Medication Extraction Challenge to evaluate their entity extraction methods, contribute to the generation of a publicly available collection of annotated clinical notes, and start developing methods for ontology-based reasoning using structured information generated from the unstructured clinical narrative.
Author(s): Mork, James G, Bodenreider, Olivier, Demner-Fushman, Dina, Dogan, Rezarta Islamaj, Lang, François-Michel, Lu, Zhiyong, Névéol, Aurélie, Peters, Lee, Shooshan, Sonya E, Aronson, Alan R
DOI: 10.1136/jamia.2010.003970
The Third i2b2 Workshop on Natural Language Processing Challenges for Clinical Records focused on the identification of medications, their dosages, modes (routes) of administration, frequencies, durations, and reasons for administration in discharge summaries. This challenge is referred to as the medication challenge. For the medication challenge, i2b2 released detailed annotation guidelines along with a set of annotated discharge summaries. Twenty teams representing 23 organizations and nine countries participated in the [...]
Author(s): Uzuner, Ozlem, Solti, Imre, Cadag, Eithon
DOI: 10.1136/jamia.2010.003947
We aim to build and evaluate an open-source natural language processing system for information extraction from electronic medical record clinical free-text. We describe and evaluate our system, the clinical Text Analysis and Knowledge Extraction System (cTAKES), released open-source at http://www.ohnlp.org. The cTAKES builds on existing open-source technologies-the Unstructured Information Management Architecture framework and OpenNLP natural language processing toolkit. Its components, specifically trained for the clinical domain, create rich linguistic and [...]
Author(s): Savova, Guergana K, Masanz, James J, Ogren, Philip V, Zheng, Jiaping, Sohn, Sunghwan, Kipper-Schuler, Karin C, Chute, Christopher G
DOI: 10.1136/jamia.2009.001560
A system that monitors a region for a disease outbreak is called a disease outbreak surveillance system. A spatial surveillance system searches for patterns of disease outbreak in spatial subregions of the monitored region. A temporal surveillance system looks for emerging patterns of outbreak disease by analyzing how patterns have changed during recent periods of time. If a non-spatial, non-temporal system could be converted to a spatio-temporal one, the performance [...]
Author(s): Jiang, Xia, Cooper, Gregory F
DOI: 10.1136/jamia.2009.000356