Literature DB >> 26958169

Representation of Drug Use in Biomedical Standards, Clinical Text, and Research Measures.

Elizabeth W Carter1, Indra Neil Sarkar2, Genevieve B Melton3, Elizabeth S Chen4.   

Abstract

Drug misuse is a prominent cause of morbidity and mortality in the United States. Recent focus on behavioral and social domains in the electronic health record (EHR) has highlighted the need for comprehensive examination of social history information, such as drug use. In this study, representation of drug use was examined in three types of sources: (1) standards from HL7 and openEHR, (2) clinical text from publicly accessible clinical notes and a local EHR, and (3) research measures from the PhenX Toolkit and CDE Browser. In total, 27 elements were identified across the examined sources, revealing a diverse set of values that were found to be associated with drug use type, frequency, method, time frame, and amount. The findings of this study provide insight into the representation of drug use information that may contribute to efforts for standardizing collection and use of these data to support clinical care and research.

Mesh:

Year:  2015        PMID: 26958169      PMCID: PMC4765691     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  21 in total

1.  A multi-site content analysis of social history information in clinical notes.

Authors:  Elizabeth S Chen; Sharad Manaktala; Indra Neil Sarkar; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

2.  Common data elements for substance use disorders in electronic health records: the NIDA Clinical Trials Network experience.

Authors:  Udi E Ghitza; Robert E Gore-Langton; Robert Lindblad; David Shide; Geetha Subramaniam; Betty Tai
Journal:  Addiction       Date:  2012-05-08       Impact factor: 6.526

3.  Normalized names for clinical drugs: RxNorm at 6 years.

Authors:  Stuart J Nelson; Kelly Zeng; John Kilbourne; Tammy Powell; Robin Moore
Journal:  J Am Med Inform Assoc       Date:  2011-04-21       Impact factor: 4.497

4.  Social and behavioral history information in public health datasets.

Authors:  Genevieve B Melton; Sharad Manaktala; Indra Neil Sarkar; Elizabeth S Chen
Journal:  AMIA Annu Symp Proc       Date:  2012-11-03

5.  Pharmaceutical overdose deaths, United States, 2010.

Authors:  Christopher M Jones; Karin A Mack; Leonard J Paulozzi
Journal:  JAMA       Date:  2013-02-20       Impact factor: 56.272

6.  Predictors of suicide in patient charts among patients with depression in the Veterans Health Administration health system: importance of prescription drug and alcohol abuse.

Authors:  Hyungjin Myra Kim; Eric G Smith; Dara Ganoczy; Heather Walters; Clare M Stano; Mark A Ilgen; Amy S B Bohnert; Marcia Valenstein
Journal:  J Clin Psychiatry       Date:  2012-10       Impact factor: 4.384

7.  Integrating information on substance use disorders into electronic health record systems.

Authors:  Betty Tai; A Thomas McLellan
Journal:  J Subst Abuse Treat       Date:  2011-12-07

8.  Grid-enabled measures: using Science 2.0 to standardize measures and share data.

Authors:  Richard P Moser; Bradford W Hesse; Abdul R Shaikh; Paul Courtney; Glen Morgan; Erik Augustson; Sarah Kobrin; Kerry Y Levin; Cynthia Helba; David Garner; Marsha Dunn; Kisha Coa
Journal:  Am J Prev Med       Date:  2011-05       Impact factor: 5.043

9.  Challenges and opportunities for integrating preventive substance-use-care services in primary care through the Affordable Care Act.

Authors:  Udi E Ghitza; Betty Tai
Journal:  J Health Care Poor Underserved       Date:  2014-02

10.  Using electronic health records data to assess comorbidities of substance use and psychiatric diagnoses and treatment settings among adults.

Authors:  Li-Tzy Wu; Kenneth R Gersing; Marvin S Swartz; Bruce Burchett; Ting-Kai Li; Dan G Blazer
Journal:  J Psychiatr Res       Date:  2013-01-19       Impact factor: 4.791

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  7 in total

1.  Analyzing Real-World Use of Research Common Data Elements.

Authors:  Vojtech Huser; Liz Amos
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

2.  Using Neural Multi-task Learning to Extract Substance Abuse Information from Clinical Notes.

Authors:  Kevin Lybarger; Meliha Yetisgen; Mari Ostendorf
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

3.  Content and Quality of Free-Text Occupation Documentation in the Electronic Health Record.

Authors:  Ranyah Aldekhyyel; Elizabeth S Chen; Sripriya Rajamani; Yan Wang; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

4.  Representation of occupational information across resources and validation of the occupational data for health model.

Authors:  Sripriya Rajamani; Elizabeth S Chen; Elizabeth Lindemann; Ranyah Aldekhyyel; Yan Wang; Genevieve B Melton
Journal:  J Am Med Inform Assoc       Date:  2018-02-01       Impact factor: 4.497

5.  Representation of Social History Factors Across Age Groups: A Topic Analysis of Free-Text Social Documentation.

Authors:  Elizabeth A Lindemann; Elizabeth S Chen; Yan Wang; Steven J Skube; Genevieve B Melton
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

6.  Longitudinal analysis of social and behavioral determinants of health in the EHR: exploring the impact of patient trajectories and documentation practices.

Authors:  Daniel J Feller; Jason Zucker; Oliver Bear Don't Walk; Michael T Yin; Peter Gordon; Noémie Elhadad
Journal:  AMIA Annu Symp Proc       Date:  2020-03-04

7.  Detecting Social and Behavioral Determinants of Health with Structured and Free-Text Clinical Data.

Authors:  Daniel J Feller; Oliver J Bear Don't Walk Iv; Jason Zucker; Michael T Yin; Peter Gordon; Noémie Elhadad
Journal:  Appl Clin Inform       Date:  2020-03-04       Impact factor: 2.342

  7 in total

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