Literature DB >> 20190054

The Enterprise Data Trust at Mayo Clinic: a semantically integrated warehouse of biomedical data.

Christopher G Chute1, Scott A Beck, Thomas B Fisk, David N Mohr.   

Abstract

Mayo Clinic's Enterprise Data Trust is a collection of data from patient care, education, research, and administrative transactional systems, organized to support information retrieval, business intelligence, and high-level decision making. Structurally it is a top-down, subject-oriented, integrated, time-variant, and non-volatile collection of data in support of Mayo Clinic's analytic and decision-making processes. It is an interconnected piece of Mayo Clinic's Enterprise Information Management initiative, which also includes Data Governance, Enterprise Data Modeling, the Enterprise Vocabulary System, and Metadata Management. These resources enable unprecedented organization of enterprise information about patient, genomic, and research data. While facile access for cohort definition or aggregate retrieval is supported, a high level of security, retrieval audit, and user authentication ensures privacy, confidentiality, and respect for the trust imparted by our patients for the respectful use of information about their conditions.

Entities:  

Mesh:

Year:  2010        PMID: 20190054      PMCID: PMC3000789          DOI: 10.1136/jamia.2009.002691

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


  17 in total

1.  Optimizing healthcare research data warehouse design through past COSTAR query analysis.

Authors:  S N Murphy; M M Morgan; G O Barnett; H C Chueh
Journal:  Proc AMIA Symp       Date:  1999

2.  Integrating detailed clinical models into application development tools.

Authors:  Stanley M Huff; Roberto A Rocha; Joseph F Coyle; Scott P Narus
Journal:  Stud Health Technol Inform       Date:  2004

3.  Detailed clinical models for sharable, executable guidelines.

Authors:  Craig G Parker; Roberto A Rocha; James R Campbell; Samson W Tu; Stanley M Huff
Journal:  Stud Health Technol Inform       Date:  2004

4.  Development of a clinical data architecture.

Authors:  G W Beeler; P S Gibbons; C G Chute
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1992

5.  A common and clonable environment to support research using patient data.

Authors:  P Van Grevenhof; C G Chute; D J Ballard
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991

6.  LexGrid: a framework for representing, storing, and querying biomedical terminologies from simple to sublime.

Authors:  Jyotishman Pathak; Harold R Solbrig; James D Buntrock; Thomas M Johnson; Christopher G Chute
Journal:  J Am Med Inform Assoc       Date:  2009-03-04       Impact factor: 4.497

7.  Clinical data retrieval and analysis. I've seen a case like that before.

Authors:  C G Chute
Journal:  Ann N Y Acad Sci       Date:  1992-12-17       Impact factor: 5.691

8.  History of the Rochester Epidemiology Project.

Authors:  L J Melton
Journal:  Mayo Clin Proc       Date:  1996-03       Impact factor: 7.616

9.  The patient record in epidemiology.

Authors:  L T Kurland; C A Molgaard
Journal:  Sci Am       Date:  1981-10       Impact factor: 2.142

10.  Latent Semantic Indexing of medical diagnoses using UMLS semantic structures.

Authors:  C G Chute; Y Yang; D A Evans
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1991
View more
  96 in total

1.  Automated discovery of drug treatment patterns for endocrine therapy of breast cancer within an electronic medical record.

Authors:  Guergana K Savova; Janet E Olson; Sean P Murphy; Victoria L Cafourek; Fergus J Couch; Matthew P Goetz; James N Ingle; Vera J Suman; Christopher G Chute; Richard M Weinshilboum
Journal:  J Am Med Inform Assoc       Date:  2011-12-01       Impact factor: 4.497

2.  Coreference analysis in clinical notes: a multi-pass sieve with alternate anaphora resolution modules.

Authors:  Siddhartha Reddy Jonnalagadda; Dingcheng Li; Sunghwan Sohn; Stephen Tze-Inn Wu; Kavishwar Wagholikar; Manabu Torii; Hongfang Liu
Journal:  J Am Med Inform Assoc       Date:  2012-06-16       Impact factor: 4.497

Review 3.  Phenomics: the next challenge.

Authors:  David Houle; Diddahally R Govindaraju; Stig Omholt
Journal:  Nat Rev Genet       Date:  2010-12       Impact factor: 53.242

4.  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

5.  Automated Reporting of Trainee Metrics Using Electronic Clinical Systems.

Authors:  Jonathan C Levin; Jonathan Hron
Journal:  J Grad Med Educ       Date:  2017-06

6.  Secondary Use of Patients' Electronic Records (SUPER): An Approach for Meeting Specific Data Needs of Clinical and Translational Researchers.

Authors:  Evan T Sholle; Joseph Kabariti; Stephen B Johnson; John P Leonard; Jyotishman Pathak; Vinay I Varughese; Curtis L Cole; Thomas R Campion
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

7.  Quantifying clinical data quality using relative gold standards.

Authors:  Michael G Kahn; Brian B Eliason; Janet Bathurst
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

8.  Easily configured real-time CPOE Pick Off Tool supporting focused clinical research and quality improvement.

Authors:  Benjamin P Rosenbaum; Nikolay Silkin; Randolph A Miller
Journal:  J Am Med Inform Assoc       Date:  2013-11-28       Impact factor: 4.497

9.  Combining infobuttons and semantic web rules for identifying patterns and delivering highly-personalized education materials.

Authors:  Nathan C Hulse; Jie Long; Cui Tao
Journal:  AMIA Annu Symp Proc       Date:  2013-11-16

10.  The automatic clinical trial: leveraging the electronic medical record in multisite cancer clinical trials.

Authors:  Keith Goodman; Judy Krueger; John Crowley
Journal:  Curr Oncol Rep       Date:  2012-12       Impact factor: 5.075

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.