BRIEF REPORT: "Where do we teach what?" - Finding broad concepts in the medical school curriculum

被引:17
作者
Denny, JC
Smithers, JD
Armstrong, B
Spickard, A
机构
[1] Vanderbilt Univ Sch Med, Dept Med, Dept Biomed Informat, Nashville, TN 37232 USA
[2] Good Samaritan Reg Med Ctr, Dept Med & Pediat, Phoenix, AZ USA
关键词
medical education; medical informatics; curriculum; abstracting and indexing;
D O I
10.1111/j.1525-1497.2005.0203.x
中图分类号
R19 [保健组织与事业(卫生事业管理)];
学科分类号
摘要
BACKGROUND: Often, medical educators and students do not know where important concepts are taught and learned in medical school. Manual efforts to identify and track concepts covered across the curriculum are inaccurate and resource intensive. OBJECTIVE: To test the ability of a web-based application called KnowledgeMap (KM) to automatically locate where broad biomedical concepts are covered in lecture documents in the Vanderbilt School of Medicine. METHODS: In 2003, the authors derived a gold standard set of curriculum documents by ranking 383 lecture documents as high, medium, or low relevance in their coverage of 4 broad biomedical concepts: genetics, women's health, dermatology, and radiology. We compared the gold standard rankings to KM, an automated tool that generates a variable number of subconcepts for each broad concept to calculate a relevance score for each document. Receiver operating characteristic (ROC) curves and area-under-the-curve were derived for each ranking using varying relevance score cutoffs. RESULTS: Receiver operating characteristic curve areas were acceptably high for each broad concept (range 0.74 to 0.98). At relevance scores that optimized sensitivity and specificity, 78% to 100% of highly relevant documents were identified. The best results were obtained with the application of 63 to 1437 subconcepts for a given broad concept. The search time was fast. CONCLUSIONS: The KM tool capably and automatically locates the detailed coverage of broad concepts across medical school documents in real time. Use of KM or similar tools may prove useful for other medical schools to identify broad concepts in their curricula.
引用
收藏
页码:943 / 946
页数:4
相关论文
共 8 条
  • [1] Understanding medical school curriculum content using KnowledgeMap
    Denny, JC
    Smithers, JD
    Miller, RA
    Spickard, A
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2003, 10 (04) : 351 - 362
  • [2] Denny Joshua C, 2003, AMIA Annu Symp Proc, P195
  • [3] THE MEANING AND USE OF THE AREA UNDER A RECEIVER OPERATING CHARACTERISTIC (ROC) CURVE
    HANLEY, JA
    MCNEIL, BJ
    [J]. RADIOLOGY, 1982, 143 (01) : 29 - 36
  • [4] Tufts Health Sciences Database: Lessons, issues, and opportunities
    Lee, MY
    Albright, SA
    Alkasab, T
    Damassa, DA
    Wang, PJ
    Eaton, EK
    [J]. ACADEMIC MEDICINE, 2003, 78 (03) : 254 - 264
  • [5] Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure
    Maisel, AS
    Krishnaswamy, P
    Nowak, RM
    McCord, J
    Hollander, JE
    Duc, P
    Omland, T
    Storrow, AB
    Abraham, WT
    Wu, AHB
    Clopton, P
    Steg, PG
    Westheim, A
    Knudsen, CW
    Perez, A
    Kazanegra, R
    Herrmann, HC
    McCullough, PA
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2002, 347 (03) : 161 - 167
  • [6] MCGOWAN J, 2003, P AMIA S, P435
  • [7] Effect of verification bias on screening for prostate cancer by measurement of prostate-specific antigen
    Punglia, RS
    D'Amico, AV
    Catalona, WJ
    Roehl, KA
    Kuntz, KM
    [J]. NEW ENGLAND JOURNAL OF MEDICINE, 2003, 349 (04) : 335 - 342
  • [8] The role of domain knowledge in automating medical text report classification
    Wilcox, AB
    Hripcsak, G
    [J]. JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2003, 10 (04) : 330 - 338