Literature DB >> 14728161

The KnowledgeMap project: development of a concept-based medical school curriculum database.

Joshua C Denny1, Plomarz R Irani, Firas H Wehbe, Jeffrey D Smithers, Anderson Spickard.   

Abstract

We developed the KnowledgeMap (KM) system as an online, concept-based database of medical school curriculum documents. It uses the KM concept indexer to map full-text documents and match search queries to concepts in the Unified Medical Language System (UMLS). In this paper, we describe the design of KM and report the first seven months of its implementation into a medical school. Despite being emphasized in only two first year courses and one fourth year course, students from all four classes used KM to search and browse documents. All faculty members involved with courses piloting KM used the system to upload and manage lecture documents. Currently, we are working with eight course directors to transition their courses to KM for next year.

Mesh：

Year:  2003        PMID： 14728161      PMCID： PMC1480333     

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


  12 in total

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Journal:  Acad Med       Date:  2000-04       Impact factor: 6.893

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Journal:  Proc AMIA Symp       Date:  2001

4.  "Understanding" medical school curriculum content using KnowledgeMap.

Authors:  Joshua C Denny; Jeffrey D Smithers; Randolph A Miller; Anderson Spickard
Journal:  J Am Med Inform Assoc       Date:  2003-03-28       Impact factor: 4.497

Review 5.  Tufts Health Sciences Database: lessons, issues, and opportunities.

Authors:  Mary Y Lee; Susan A Albright; Tarik Alkasab; David A Damassa; Paul J Wang; Elizabeth K Eaton
Journal:  Acad Med       Date:  2003-03       Impact factor: 6.893

6.  CHARTLINE: providing bibliographic references relevant to patient charts using the UMLS Metathesaurus Knowledge Sources.

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Authors:  S L Kanter
Journal:  J Am Med Inform Assoc       Date:  1996 Mar-Apr       Impact factor: 4.497

8.  A comprehensive strategy for designing a Web-based medical curriculum.

Authors:  J Zucker; H Chase; P Molholt; C Bean; R M Kahn
Journal:  Proc AMIA Annu Fall Symp       Date:  1996

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Authors:  S L Kanter; R A Miller; M Tan; J Schwartz
Journal:  Bull Med Libr Assoc       Date:  1994-07

10.  Using the UMLS to represent medical curriculum content.

Authors:  S L Kanter
Journal:  Proc Annu Symp Comput Appl Med Care       Date:  1993
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  42 in total

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Authors:  S Trent Rosenbloom; William W Stead; Joshua C Denny; Dario Giuse; Nancy M Lorenzi; Steven H Brown; Kevin B Johnson
Journal:  Appl Clin Inform       Date:  2010-01-01       Impact factor: 2.342

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Authors:  Joshua C Denny; Jeffrey D Smithers; Brian Armstrong; Anderson Spickard
Journal:  J Gen Intern Med       Date:  2005-10       Impact factor: 5.128

4.  How students and faculty interact with a searchable online database of the medical curriculum.

Authors:  Firas H Wehbe; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2005

5.  Analysis of medical student content searches that resulted in unidentified UMLS concepts.

Authors:  Benjamin P Rosenbaum; Joshua C Denny; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2006

6.  Comparing content coverage in medical curriculum to trainee-authored clinical notes.

Authors:  Joshua C Denny; Peter Speltz; Raquel Maddox; Glenn Stein; Hua Xu; Anderson Spickard
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

7.  Data from clinical notes: a perspective on the tension between structure and flexible documentation.

Authors:  S Trent Rosenbloom; Joshua C Denny; Hua Xu; Nancy Lorenzi; William W Stead; Kevin B Johnson
Journal:  J Am Med Inform Assoc       Date:  2011-01-12       Impact factor: 4.497

8.  Combine Factual Medical Knowledge and Distributed Word Representation to Improve Clinical Named Entity Recognition.

Authors:  Yonghui Wu; Xi Yang; Jiang Bian; Yi Guo; Hua Xu; William Hogan
Journal:  AMIA Annu Symp Proc       Date:  2018-12-05

9.  An Empirical Study for Impacts of Measurement Errors on EHR based Association Studies.

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10.  Clinical Named Entity Recognition Using Deep Learning Models.

Authors:  Yonghui Wu; Min Jiang; Jun Xu; Degui Zhi; Hua Xu
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16
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