skip to main content
10.1145/1593105.1593120acmotherconferencesArticle/Chapter ViewAbstractPublication Pagesacm-seConference Proceedingsconference-collections
research-article

Generating better text summaries for a patient simulation program

Published: 28 March 2008 Publication History

Abstract

We have been working on a new version of text generation component of the Intelligent Medical Record (IMR), a patient simulation program. The new text generator is based on American Bar Foundation (ABF) generation system to support the production of text for progress notes and for form letters. The old IMR produced a text report of patient encounters and also created a list of patient features, but this text contained a number of grammatical errors and disfluencies. The new ABF-based text generator runs on a variety of platforms, fixes the old generator errors, and incorporates standard vocabulary from the Systematized Nomenclature of Medicine Clinical Terms (SNOMED-CT).

References

[1]
Ben-Bassat, M., Carlson, R. W., Puri, V. K., Davenport, M. D., Schriver, J. A., Latif, M., Smith, R., Portigal, L. D., Lipnick, E. H., Weil, M. H. 1980. Pattern Based Interactive Diagnosis of Multiple Disorders: The MEDAS System. IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI 2 (2): 148--160.
[2]
Bergeron, B. 1991. Iliad: A Diagnostic Consultant and Patient Simulator. MD Computing, 8(1):46--53.
[3]
Chang, L. J., Evens, M., Trace, D. A. 1994. Knowledge Engineering System for MEDAS. Proc. IEEE Computer-Based Medical Systems, Winston-Salem, NC, June, 6--11.
[4]
Côté, R. A. 1986. Architecture of SNOMED Its Contribution to Medical Language Processing. Proc. Symposium on Computer Applications in Medical Care, Washington, 74--80.
[5]
Harr, H., Evens, M., Sprowl, J. 1987. Interpreting ABF - A Language for Document Construction. SIGPLAN Proceedings, Association for Computing Machinery, 205--213.
[6]
Henry, S., Holzemer W. 1994. Can SNOMED International Represent Patients' Perceptions of Health-Related Problems for the Computer-Based Patient Record? Proc. Symposium on Computer Applications in Medical Care, Washington, DC, 184--187.
[7]
Lee, C. Y., Evens, M., Carmony, L., Trace, D. A., Naeymi-Rad, F. 1991. Recommending Tests in a Multi- membership Bayesian Diagnostic Expert System. Proc. Symposium on Computer-Based Medical Systems, Baltimore, Maryland, 28--35.
[8]
Lee, C. Y., Evens, M., Carmony, L., Naeymi-Rad, F., Trace, D. 1991. A Test Selection Module for MEDAS. Proc. Symposium on Computer Applications in Medical Care, Washington, DC, 706--710.
[9]
Miller, R. A., Masarie, F. E., Myers, J. D. 1986. Quick Medical Reference (QMR) for diagnostic assistance. MD Computing, 3(1):34--48
[10]
Rothwell, D. J., Wingert, F., Cote, R., Beckett, R., and Palotay, J. 1989. Indexing Medical Information: The Role of SNOMED. Proc. Symposium on Computer Applications in Medical Care, Washington, DC, 534--539.
[11]
Sprowl, J. A. 1979. Automating the Legal Reasoning Process: A Computer That Uses Regulations and Statutes to Draft Legal Documents. American Bar Association Research Journal, 1979, 1--8.
[12]
Trace, D., Evens, M., Naeymi-Rad, F., Carmony, L. 1990. Medical Information Management: The MEDAS Approach. Proc. Symposium on Computer Applications in Medical Care, Washington, DC, November, 635--639.
[13]
Trace, D., Naeymi-Rad, F., Haines, D., Robert, J. J. S., Almeida, F., Carmony, L., and Evens, M. 1993. Intelligent Medical Record - Entry (IMR-E). Journal of Medical Systems, 17, (3/4): 139--151.
[14]
Tsai, C. M. 1990. Treatment Protocols for a Medical Expert System: Solving Problems in Text Delivery and Knowledge Engineering. Ph.D. Dissertation, Department Computer of Science, Illinois Institute of Technology, Chicago, IL
[15]
Yang, K. P., Evens, M., Trace, D., Chern, J. 2000. Patient Simulation for Medical Education. Proc. 16th International Conference on Advanced Science and Technology, Batavia, Illinois, June, 141--148.
[16]
Yang, K. P., Evens, M., Trace, D. 2001. Terminology Matching for Interactive Simulated Patients. Proc. 12th Midwest Artificial Intelligence and Cognitive Science Conference, Oxford, Ohio, March. 141--148.
[17]
Yang, K. P., Evens, M., Trace, D. 2001. Building an Up-to-Date Medical Record System. Proc. 17th International Conference on Advanced Science and Technology, Chicago, Illinois, October, 52--56.
[18]
Yang, K. P., Evens, M., Trace, D. 2002. Chief Complaint Reports in the Intelligent Medical Record. Proc. MAICS, Chicago, IL, April, 151--156.
[19]
Yang, K. P., Evens, M., Trace, D. 2002. Designing the Interaction between the Student and the Patient Simulation System. Proc. International Conference on Advanced Science and Technology, Chicago, IL, 66--73.
[20]
Yang, K. P., Evens, M., Trace, D. 2005. The New Disorder Pattern Toolbox. Proceedings of the Midwest Artificial Intelligence and Cognitive Science Conference, Dayton, OH, April, 109--115.

Index Terms

  1. Generating better text summaries for a patient simulation program

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Other conferences
    ACMSE '08: Proceedings of the 46th annual ACM Southeast Conference
    March 2008
    548 pages
    ISBN:9781605581057
    DOI:10.1145/1593105
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 28 March 2008

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. SNOMED-CT
    2. expert system
    3. java dynamic tree
    4. patient simulation system
    5. text generation

    Qualifiers

    • Research-article

    Conference

    ACM SE08
    ACM SE08: ACM Southeast Regional Conference
    March 28 - 29, 2008
    Alabama, Auburn

    Acceptance Rates

    Overall Acceptance Rate 502 of 1,023 submissions, 49%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • 0
      Total Citations
    • 96
      Total Downloads
    • Downloads (Last 12 months)1
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 16 Feb 2025

    Other Metrics

    Citations

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media