Abstract

We propose to extend the successful work we have achieved with statistically based indexing and retrieval systems, by incorporating semantic structures which accommodate the modifying attributes of clinical conCepts. Patient data is rarely limited to a single axis of meaning or detail, and retrieval for application in quality improvement, decision support, or epidemiologic research, demands Consistent information struCture. This proposal will invoke the knowledge and tool suites of the UMLS Specialist Lexicon, the SGML markup and recognition capabilities of the TextMachine application, extensions to our locally developed CliniCal Query Language, and layer these enhancements upon our core techniques for statistically based indexing and retrieval of patient data. We commit these activities to remain compliant with emerging standards for medical concept representation arising from the Canon efforts and the standardization processes at ANSI-HISPP, CEN TC251 and the CPRI initiatives.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Library of Medicine (NLM)
Type
Research Project (R01)
Project #
5R01LM005416-06
Application #
2635406
Study Section
Biomedical Library and Informatics Review Committee (BLR)
Program Officer
Bean, Carol A
Project Start
1992-09-30
Project End
2004-10-31
Budget Start
1998-01-12
Budget End
2004-10-31
Support Year
6
Fiscal Year
1998
Total Cost
Indirect Cost

  Institution

Name
Mayo Clinic, Rochester
Department
Type
DUNS #
City
Rochester
State
MN
Country
United States
Zip Code
55905

  Publications

Brown, S H; Lincoln, M; Hardenbrook, S et al. (2001) Derivation and evaluation of a document-naming nomenclature. J Am Med Inform Assoc 8:379-90
McDonald, F S; Chute, C G; Ogren, P V et al. (1999) A large-scale evaluation of terminology integration characteristics. Proc AMIA Symp :864-7
Chute, C G; Elkin, P L; Sherertz, D D et al. (1999) Desiderata for a clinical terminology server. Proc AMIA Symp :42-6
Chute, C G; Elkin, P L; Fenton, S H et al. (1998) A clinical terminology in the post modern era: pragmatic problem list development. Proc AMIA Symp :795-9
Chute, C G; Elkin, P L (1997) A clinically derived terminology: qualification to reduction. Proc AMIA Annu Fall Symp :570-4
Elkin, P L; Mohr, D N; Tuttle, M S et al. (1997) Standardized problem list generation, utilizing the Mayo canonical vocabulary embedded within the Unified Medical Language System. Proc AMIA Annu Fall Symp :500-4
Chute, C G; Cohn, S P; Campbell, K E et al. (1996) The content coverage of clinical classifications. For The Computer-Based Patient Record Institute's Work Group on Codes & Structures. J Am Med Inform Assoc 3:224-33
Chute, C G; Crowson, D L; Buntrock, J D (1995) Medical information retrieval and WWW browsers at Mayo. Proc Annu Symp Comput Appl Med Care :903-7
Chute, C G; Yang, Y (1995) An overview of statistical methods for the classification and retrieval of patient events. Methods Inf Med 34:104-10
Yang, Y; Chute, C G (1995) Sampling strategies in a statistical approach to clinical classification. Proc Annu Symp Comput Appl Med Care :32-6

Showing the most recent 10 out of 13 publications