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Year Number of Results
2011 1
2012 2
2013 3
2014 2
2015 4
2016 4
2017 1
2018 1
2020 0
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Development and validation of an electronic frailty index using routine primary care electronic health record data.
Clegg A, Bates C, Young J, Ryan R, Nichols L, Ann Teale E, Mohammed MA, Parry J, Marshall T. Clegg A, et al. Age Ageing. 2016 May;45(3):353-60. doi: 10.1093/ageing/afw039. Epub 2016 Mar 3. Age Ageing. 2016. PMID: 26944937 Free PMC article.
OBJECTIVES: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data. STUDY DESIGN AND SETTING: retrospective cohort study. Development and internal validation cohorts were es …
OBJECTIVES: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic hea
An information extraction framework for cohort identification using electronic health records.
Liu H, Bielinski SJ, Sohn S, Murphy S, Wagholikar KB, Jonnalagadda SR, Ravikumar KE, Wu ST, Kullo IJ, Chute CG. Liu H, et al. AMIA Jt Summits Transl Sci Proc. 2013 Mar 18;2013:149-53. eCollection 2013. AMIA Jt Summits Transl Sci Proc. 2013. PMID: 24303255 Free PMC article.
Information extraction (IE), a natural language processing (NLP) task that automatically extracts structured or semi-structured information from free text, has become popular in the clinical domain for supporting automated systems at point-of-care and enablin
Information extraction (IE), a natural language processing (NLP) task that automatically extracts structured or semi-structure
Beyond Cohort Selection: An Analytics-Enabled i2b2.
Gabetta M, Malovini A, Bucalo M, Zini E, Tibollo V, Priori SG, Vettoretti S, Larizza C, Bellazzi R, Barbarini N. Gabetta M, et al. Stud Health Technol Inform. 2016;228:572-6. Stud Health Technol Inform. 2016. PMID: 27577448
The i2b2 software is a widely adopted solution for secondary use of clinical data for clinical research, specifically designed for cohort identification. i2b2 is still lacking functionalities for data analysis. The aim of this work is to empower the i2b2 framewor
The i2b2 software is a widely adopted solution for secondary use of clinical data for clinical research, specifically designed for cohort
Identification of surgical site infections using electronic health record data.
Colborn KL, Bronsert M, Amioka E, Hammermeister K, Henderson WG, Meguid R. Colborn KL, et al. Am J Infect Control. 2018 Nov;46(11):1230-1235. doi: 10.1016/j.ajic.2018.05.011. Epub 2018 Jun 12. Am J Infect Control. 2018. PMID: 29907448
BACKGROUND: The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variables from electronic health record data and outcomes from the American College of Surgeons National Surgical Quality Improvemen …
BACKGROUND: The objective of this study was to develop an algorithm for identifying surgical site infections (SSIs) using independent variab …
Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.
Hruby GW, Matsoukas K, Cimino JJ, Weng C. Hruby GW, et al. J Biomed Inform. 2016 Apr;60:376-84. doi: 10.1016/j.jbi.2016.03.004. Epub 2016 Mar 10. J Biomed Inform. 2016. PMID: 26972838 Free PMC article. Review.
Electronic health records (EHR) are a vital data resource for research uses, including cohort identification, phenotyping, pharmacovigilance, and public health surveillance. ...We adapted a previously published conceptual framework
Electronic health records (EHR) are a vital data resource for research uses, including cohort identification
Aligned-Layer Text Search in Clinical Notes.
Wu S, Wen A, Wang Y, Liu S, Liu H. Wu S, et al. Stud Health Technol Inform. 2017;245:629-633. Stud Health Technol Inform. 2017. PMID: 29295172
While natural language processing (NLP) approaches address these fine-grained distinctions, a task like patient cohort identification from electronic health records (EHRs) simultaneously requires a much more coarse-grained combination of evidenc …
While natural language processing (NLP) approaches address these fine-grained distinctions, a task like patient cohort identificat
Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.
Haarbrandt B, Tute E, Marschollek M. Haarbrandt B, et al. J Biomed Inform. 2016 Oct;63:277-294. doi: 10.1016/j.jbi.2016.08.007. Epub 2016 Aug 6. J Biomed Inform. 2016. PMID: 27507090 Free article.
More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. ...Using the imported d …
More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application …
Development of an open metadata schema for prospective clinical research (openPCR) in China.
Xu W, Guan Z, Sun J, Wang Z, Geng Y. Xu W, et al. Methods Inf Med. 2014;53(1):39-46. doi: 10.3414/ME13-01-0008. Epub 2013 Dec 9. Methods Inf Med. 2014. PMID: 24317371
OBJECTIVES: In China, deployment of electronic data capture (EDC) and clinical data management system (CDMS) for clinical research (CR) is in its very early stage, and about 90% of clinical studies collected and submitted clinical data manually. ...A hierarchical st …
OBJECTIVES: In China, deployment of electronic data capture (EDC) and clinical data management system (CDMS) for clinical research (C …
Empirical performance of the calibrated self-controlled cohort analysis within temporal pattern discovery: lessons for developing a risk identification and analysis system.
Norén GN, Bergvall T, Ryan PB, Juhlin K, Schuemie MJ, Madigan D. Norén GN, et al. Drug Saf. 2013 Oct;36 Suppl 1:S107-21. doi: 10.1007/s40264-013-0095-x. Drug Saf. 2013. PMID: 24166228
RESEARCH DESIGN: Different implementations of the calibrated self-controlled cohort analysis were applied to 399 drug-outcome pairs (165 positive and 234 negative test cases across 4 health outcomes of interest) in 5 real observational databases (four with administr …
RESEARCH DESIGN: Different implementations of the calibrated self-controlled cohort analysis were applied to 399 drug-outcome pairs ( …
Using electronic patient records to discover disease correlations and stratify patient cohorts.
Roque FS, Jensen PB, Schmock H, Dalgaard M, Andreatta M, Hansen T, Søeby K, Bredkjær S, Juul A, Werge T, Jensen LJ, Brunak S. Roque FS, et al. PLoS Comput Biol. 2011 Aug;7(8):e1002141. doi: 10.1371/journal.pcbi.1002141. Epub 2011 Aug 25. PLoS Comput Biol. 2011. PMID: 21901084 Free PMC article.
Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between diseases. ...As a use case we show how records from a Danish psychiatric hospital lead to the identification of disease correla
Electronic patient records remain a rather unexplored, but potentially rich data source for discovering correlations between d
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