Literature DB >> 20841894

The clinical research data repository of the US National Institutes of Health.

James J Cimino1, Elaine J Ayres.   

Abstract

The US National Institutes of Health (NIH) includes 27 institutes and centers, many of which conduct clinical research. Previously, data collected in research trials has existed in multiple, disparate databases. This paper describes the design, implementation and experience to date with the Biomedical Translational Research Information System (BTRIS), being developed at NIH to consolidate clinical research data. BTRIS is intended to simplify data access and analysis of data from active clinical trials and to facilitate reuse of existing data to answer new questions. Unique aspects of the system includes a Research Entities Dictionary that unifies all controlled terminologies used by source systems and a hybrid data model that unifies parts of the source data models and include other data in entity-attribute value tables. BTRIS currently includes over 300 million rows of data, from three institutes, ranging from 1976 to present. Users are able to retrieve data on their own research subjects in identified form as well as deidentified data on all subjects.

Entities:  

Mesh:

Year:  2010        PMID: 20841894      PMCID: PMC3408090     

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  9 in total

1.  WebCIS: large scale deployment of a Web-based clinical information system.

Authors:  G Hripcsak; J J Cimino; S Sengupta
Journal:  Proc AMIA Symp       Date:  1999

2.  Translational research: moving discovery to practice.

Authors:  E A Zerhouni
Journal:  Clin Pharmacol Ther       Date:  2007-01       Impact factor: 6.875

3.  Conceptual data model for a central patient database.

Authors:  S Johnson; C Friedman; J J Cimino; T Clark; G Hripcsak; P D Clayton
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

4.  The Shared Health Research Information Network (SHRINE): a prototype federated query tool for clinical data repositories.

Authors:  Griffin M Weber; Shawn N Murphy; Andrew J McMurry; Douglas Macfadden; Daniel J Nigrin; Susanne Churchill; Isaac S Kohane
Journal:  J Am Med Inform Assoc       Date:  2009-06-30       Impact factor: 4.497

5.  QAV: querying entity-attribute-value metadata in a biomedical database.

Authors:  P M Nadkarni
Journal:  Comput Methods Programs Biomed       Date:  1997-06       Impact factor: 5.428

6.  Knowledge-based approaches to the maintenance of a large controlled medical terminology.

Authors:  J J Cimino; P D Clayton; G Hripcsak; S B Johnson
Journal:  J Am Med Inform Assoc       Date:  1994 Jan-Feb       Impact factor: 4.497

7.  Accessing the Columbia Clinical Repository.

Authors:  S B Johnson; G Hripcsak; J Chen; P Clayton
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1994

8.  Syndromic surveillance using ambulatory electronic health records.

Authors:  George Hripcsak; Nicholas D Soulakis; Li Li; Frances P Morrison; Albert M Lai; Carol Friedman; Neil S Calman; Farzad Mostashari
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

9.  Cancer informatics vision: caBIG.

Authors:  Andrew C von Eschenbach; Kenneth Buetow
Journal:  Cancer Inform       Date:  2007-02-06
  9 in total
  25 in total

1.  Improving adherence to research protocol drug exclusions using a clinical alerting system.

Authors:  James J Cimino; Lincoln Farnum; Gary E DiPatrizio; Barry R Goldspiel
Journal:  AMIA Annu Symp Proc       Date:  2011-10-22

Review 2.  Review and evaluation of electronic health records-driven phenotype algorithm authoring tools for clinical and translational research.

Authors:  Jie Xu; Luke V Rasmussen; Pamela L Shaw; Guoqian Jiang; Richard C Kiefer; Huan Mo; Jennifer A Pacheco; Peter Speltz; Qian Zhu; Joshua C Denny; Jyotishman Pathak; William K Thompson; Enid Montague
Journal:  J Am Med Inform Assoc       Date:  2015-07-29       Impact factor: 4.497

3.  What Is Asked in Clinical Data Request Forms? A Multi-site Thematic Analysis of Forms Towards Better Data Access Support.

Authors:  David A Hanauer; Gregory W Hruby; Daniel G Fort; Luke V Rasmussen; Eneida A Mendonça; Chunhua Weng
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

4.  Development of a HIPAA-compliant environment for translational research data and analytics.

Authors:  Wayne Bradford; John F Hurdle; Bernie LaSalle; Julio C Facelli
Journal:  J Am Med Inform Assoc       Date:  2013-08-02       Impact factor: 4.497

5.  Locating relevant patient information in electronic health record data using representations of clinical concepts and database structures.

Authors:  Xuequn Pan; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2014-11-14

6.  Chiari I Malformation and Basilar Invagination in Fibrous Dysplasia: Prevalence, Mechanisms, and Clinical Implications.

Authors:  Kristen S Pan; John D Heiss; Sydney M Brown; Michael T Collins; Alison M Boyce
Journal:  J Bone Miner Res       Date:  2018-08-03       Impact factor: 6.741

7.  The false security of blind dates: chrononymization's lack of impact on data privacy of laboratory data.

Authors:  J J Cimino
Journal:  Appl Clin Inform       Date:  2012-10-24       Impact factor: 2.342

8.  Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories.

Authors:  Vojtech Huser; James J Cimino
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

9.  Reviewing 741 patients records in two hours with FASTVISU.

Authors:  Jean-Baptiste Escudié; Anne-Sophie Jannot; Eric Zapletal; Sarah Cohen; Georgia Malamut; Anita Burgun; Bastien Rance
Journal:  AMIA Annu Symp Proc       Date:  2015-11-05

10.  Ultrasound is superior to computed tomography for assessment of medullary nephrocalcinosis in hypoparathyroidism.

Authors:  Alison M Boyce; Thomas H Shawker; Suvimol C Hill; Peter L Choyke; Michael C Hill; Robert James; Nancy A Yovetich; Michael T Collins; Rachel I Gafni
Journal:  J Clin Endocrinol Metab       Date:  2013-01-24       Impact factor: 5.958

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