Literature DB >> 21846784

Realizing the full potential of electronic health records: the role of natural language processing.

Lucila Ohno-Machado.   

Abstract

Mesh：

Year:  2011        PMID： 21846784      PMCID： PMC3168331          DOI： 10.1136/amiajnl-2011-000501

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN： 1067-5027            Impact factor:   4.497


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  24 in total

1.  Using Electronic Health Records To Generate Phenotypes For Research.

Authors:  Sarah A Pendergrass; Dana C Crawford
Journal:  Curr Protoc Hum Genet       Date:  2018-12-05

2.  Using multiple sources of data for surveillance of postoperative venous thromboembolism among surgical patients treated in Department of Veterans Affairs hospitals, 2005-2010.

Authors:  Richard E Nelson; Scott D Grosse; Norman J Waitzman; Junji Lin; Scott L DuVall; Olga Patterson; James Tsai; Nimia Reyes
Journal:  Thromb Res       Date:  2015-01-26       Impact factor: 3.944

3.  Temporal phenome analysis of a large electronic health record cohort enables identification of hospital-acquired complications.

Authors:  Jeremy L Warner; Amin Zollanvari; Quan Ding; Peijin Zhang; Graham M Snyder; Gil Alterovitz
Journal:  J Am Med Inform Assoc       Date:  2013-08-01       Impact factor: 4.497

4.  In response to: Method of electronic health record documentation and quality of primary care.

Authors:  Jonathan A Handler; James G Adams
Journal:  J Am Med Inform Assoc       Date:  2012-07-28       Impact factor: 4.497

5.  Location bias of identifiers in clinical narratives.

Authors:  David A Hanauer; Qiaozhu Mei; Bradley Malin; Kai Zheng
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

6.  Use of a support vector machine for categorizing free-text notes: assessment of accuracy across two institutions.

Authors:  Adam Wright; Allison B McCoy; Stanislav Henkin; Abhivyakti Kale; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2013-03-30       Impact factor: 4.497

Review 7.  Mining electronic health records: towards better research applications and clinical care.

Authors:  Peter B Jensen; Lars J Jensen; Søren Brunak
Journal:  Nat Rev Genet       Date:  2012-05-02       Impact factor: 53.242

8.  Natural language processing as an alternative to manual reporting of colonoscopy quality metrics.

Authors:  Gottumukkala S Raju; Phillip J Lum; Rebecca S Slack; Selvi Thirumurthi; Patrick M Lynch; Ethan Miller; Brian R Weston; Marta L Davila; Manoop S Bhutani; Mehnaz A Shafi; Robert S Bresalier; Alexander A Dekovich; Jeffrey H Lee; Sushovan Guha; Mala Pande; Boris Blechacz; Asif Rashid; Mark Routbort; Gladis Shuttlesworth; Lopa Mishra; John R Stroehlein; William A Ross
Journal:  Gastrointest Endosc       Date:  2015-04-22       Impact factor: 9.427

9.  Natural language processing accurately categorizes findings from colonoscopy and pathology reports.

Authors:  Timothy D Imler; Justin Morea; Charles Kahi; Thomas F Imperiale
Journal:  Clin Gastroenterol Hepatol       Date:  2013-01-11       Impact factor: 11.382

10.  Phenome based analysis as a means for discovering context dependent clinical reference ranges.

Authors:  Jeremy L Warner; Gil Alterovitz
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03
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