Literature DB >> 17238659

Integration of clinical and genetic data in the i2b2 architecture.

Shawn N Murphy1, Michael E Mendis, David A Berkowitz, Isaac Kohane, Henry C Chueh.   

Abstract

The Informatics for Integrating Biology and the Bedside (i2b2) is one of the sponsored initiatives of the NIH Roadmap National Centers for Biomedical Computing (http://www.bisti.nih.gov/ncbc/). One of the goals of i2b2 is to provide clinical investigators broadly with the software tools necessary to collect and manage project-related clinical research data in the genomics age as a cohesive entity - a software suite to construct and manage the modern clinical research chart.

Mesh:

Year:  2006        PMID: 17238659      PMCID: PMC1839291     

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


  2 in total

1.  Concept-value pair extraction from semi-structured clinical narrative: a case study using echocardiogram reports.

Authors:  Jeanhee Chung; Shawn Murphy
Journal:  AMIA Annu Symp Proc       Date:  2005

2.  A visual interface designed for novice users to find research patient cohorts in a large biomedical database.

Authors:  Shawn N Murphy; Vivian Gainer; Henry C Chueh
Journal:  AMIA Annu Symp Proc       Date:  2003
  2 in total
  60 in total

1.  Practices and perspectives on building integrated data repositories: results from a 2010 CTSA survey.

Authors:  Sandra L MacKenzie; Matt C Wyatt; Robert Schuff; Jessica D Tenenbaum; Nick Anderson
Journal:  J Am Med Inform Assoc       Date:  2012-03-21       Impact factor: 4.497

2.  Genetics and cardiovascular disease: a policy statement from the American Heart Association.

Authors:  Euan A Ashley; Ray E Hershberger; Colleen Caleshu; Patrick T Ellinor; Joe G N Garcia; David M Herrington; Carolyn Y Ho; Julie A Johnson; Steven J Kittner; Calum A Macrae; Gia Mudd-Martin; Daniel J Rader; Dan M Roden; Derek Scholes; Frank W Sellke; Jeffrey A Towbin; Jennifer Van Eyk; Bradford B Worrall
Journal:  Circulation       Date:  2012-05-29       Impact factor: 29.690

3.  An Extended SNOMED CT Concept Model for Observations in Molecular Genetics.

Authors:  James R Campbell; Geoffrey Talmon; Allison Cushman-Vokoun; Daniel Karlsson; W Scott Campbell
Journal:  AMIA Annu Symp Proc       Date:  2017-02-10

4.  Prediction of chronic obstructive pulmonary disease (COPD) in asthma patients using electronic medical records.

Authors:  Blanca E Himes; Yi Dai; Isaac S Kohane; Scott T Weiss; Marco F Ramoni
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

5.  Federated querying architecture with clinical & translational health IT application.

Authors:  Oren E Livne; N Dustin Schultz; Scott P Narus
Journal:  J Med Syst       Date:  2011-05-03       Impact factor: 4.460

Review 6.  Using electronic health records to drive discovery in disease genomics.

Authors:  Isaac S Kohane
Journal:  Nat Rev Genet       Date:  2011-05-18       Impact factor: 53.242

7.  Using Arden Syntax to identify registry-eligible very low birth weight neonates from the Electronic Health Record.

Authors:  Indra Neil Sarkar; Elizabeth S Chen; Paul T Rosenau; Matthew B Storer; Beth Anderson; Jeffrey D Horbar
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

8.  Insight: An ontology-based integrated database and analysis platform for epilepsy self-management research.

Authors:  Satya S Sahoo; Priya Ramesh; Elisabeth Welter; Ashley Bukach; Joshua Valdez; Curtis Tatsuoka; Yvan Bamps; Shelley Stoll; Barbara C Jobst; Martha Sajatovic
Journal:  Int J Med Inform       Date:  2016-06-23       Impact factor: 4.046

9.  Characterization of patients who suffer asthma exacerbations using data extracted from electronic medical records.

Authors:  Blanca E Himes; Isaac S Kohane; Marco F Ramoni; Scott T Weiss
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

Review 10.  Facilitating biomedical researchers' interrogation of electronic health record data: Ideas from outside of biomedical informatics.

Authors:  Gregory W Hruby; Konstantina Matsoukas; James J Cimino; Chunhua Weng
Journal:  J Biomed Inform       Date:  2016-03-10       Impact factor: 6.317

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