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References (27)
-
E. Okonofua, K. Simpson, Ammar Jesri, S. Rehman, V. Durkalski, B. Egan (2006)
Therapeutic Inertia Is an Impediment to Achieving the Healthy People 2010 Blood Pressure Control GoalsHypertension, 47
-
B. Honigman, Joshua Lee, J. Rothschild, P. Light, R. Pulling, Tony Yu, D. Bates (2001)
Research Paper: Using Computerized Data to Identify Adverse Drug Events in OutpatientsJournal of the American Medical Informatics Association : JAMIA, 8 3
-
P. Embí, Anil Jain, Jeffrey Clark, Susan Bizjack, Msn, R. Hornung, Martin Harris (2005)
Effect of a clinical trial alert system on physician participation in trial recruitment.Archives of internal medicine, 165 19
-
P. Mutalik, Aniruddha Deshpande, P. Nadkarni (2001)
Research Paper: Use of General-purpose Negation Detection to Augment Concept Indexing of Medical Documents: A Quantitative Study Using the UMLSJournal of the American Medical Informatics Association : JAMIA, 8 6
-
Sheldon Sheps (1997)
The sixth report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure.Archives of internal medicine, 157 21
-
Jeffrey Friedl (1997)
Mastering Regular Expressions -
(2006)
Journal of the American Medical Informatics Association -
G. Hripcsak, G. Kuperman, C. Friedman (1998)
Extracting Findings from Narrative Reports: Software Transferability and Sources of Physician DisagreementMethods of Information in Medicine, 37
-
R. Grishman (1997)
Information Extraction: Techniques and Challenges -
H. Ward (1999)
Inadequate management of blood pressure in a hypertensive population.The New England journal of medicine, 340 20
-
Dan Jurafsky, James Martin (2000)
Speech and language processing - an introduction to natural language processing, computational linguistics, and speech recognition -
D. Aronsky, E. Kasworm, J. Jacobson, P. Haug, N. Dean (2004)
Research Paper: Electronic Screening of Dictated Reports to Identify Patients with Do-Not-Resuscitate StatusJournal of the American Medical Informatics Association : JAMIA, 11 5
-
Patrick Ruch, R. Baud, A. Geissbühler, A. Rassinoux (2001)
Comparing General and Medical Texts for Information Retrieval Based on Natural Language Processing: An Inquiry into Lexical DisambiguationStudies in health technology and informatics, 84 Pt 1
-
S. Meystre, P. Haug (2006)
Natural language processing to extract medical problems from electronic clinical documents: Performance evaluationJournal of biomedical informatics, 39 6
-
M. Fiszman, W. Chapman, D. Aronsky, R. Evans, P. Haug (2000)
Research Paper: Automatic Detection of Acute Bacterial Pneumonia from Chest X-ray ReportsJournal of the American Medical Informatics Association : JAMIA, 7 6
-
Abstraction of Hypertension Treatment Data -
B. Mamlin, D. Heinze, C. McDonald (2003)
Automated Extraction and Normalization of Findings from Cancer-Related Free-Text Radiology ReportsAMIA ... Annual Symposium proceedings. AMIA Symposium
-
Automated Detection of Adverse Events Using Natural Language Processing of Discharge Summaries Melton, Hripcsak, Adverse Event Detection with Natural Language Processing -
B. Hazlehurst, Dean Sittig, V. Stevens, K. Smith, J. Hollis, T. Vogt, J. Winickoff, R. Glasgow, T. Palen, N. Rigotti (2005)
Natural language processing in the electronic medical record: assessing clinician adherence to tobacco treatment guidelines.American journal of preventive medicine, 29 5
-
S. Lusignan, C. Weel (2006)
The use of routinely collected computer data for research in primary care: opportunities and challenges.Family practice, 23 2
-
W. Chapman, Will Bridewell, P. Hanbury, G. Cooper, B. Buchanan (2001)
A Simple Algorithm for Identifying Negated Findings and Diseases in Discharge SummariesJournal of biomedical informatics, 34 5
-
(2005)
MediClass: A system for detecting and classifying encounter-based clinical events in any electronic medical record -
(2005)
A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease -
S. Lusignan, S. Teasdale, D. Little, J. Zapp, A. Zuckerman, D. Bates, Andrew Steele (2004)
Comprehensive computerised primary care records are an essential component of any national health information strategy: report from an international consensus conference.Informatics in primary care, 12 4
-
S. Kleene (1951)
Representation of Events in Nerve Nets and Finite Automata -
(2003)
The potential of claims data to support the measurement of health care quality -
A. Turchin, M. Pendergrass, I. Kohane (2005)
DITTO - a Tool for Identification of Patient Cohorts from the Text of Physician Notes in the Electronic Medical RecordAMIA ... Annual Symposium proceedings. AMIA Symposium
- Publisher
- Oxford University Press
- Copyright
- American Medical Informatics Association
- ISSN
- 1067-5027
- eISSN
- 1527-974X
- DOI
- 10.1197/jamia.M2078
- pmid
- 16929043
- Publisher site
- See Article on Publisher Site
Abstract
AbstractThis case study examined the utility of regular expressions to identify clinical data relevant to the epidemiology of treatment of hypertension. We designed a software tool that employed regular expressions to identify and extract instances of documented blood pressure values and anti-hypertensive treatment intensification from the text of physician notes. We determined sensitivity, specificity and precision of identification of blood pressure values and anti-hypertensive treatment intensification using a gold standard of manual abstraction of 600 notes by two independent reviewers. The software processed 370 Mb of text per hour, and identified elevated blood pressure documented in free text physician notes with sensitivity and specificity of 98%, and precision of 93.2%. Anti-hypertensive treatment intensification was identified with sensitivity 83.8%, specificity of 95.0%, and precision of 85.9%. Regular expressions can be an effective method for focused information extraction tasks related to high-priority disease areas such as hypertension.
Journal
Journal of the American Medical Informatics Association – Oxford University Press
Published: Nov 1, 2006