Skip to main content

Authoring and Generating Health-Education Documents That Are Tailored to the Needs of the Individual Patient

  • Conference paper
User Modeling

Part of the book series: International Centre for Mechanical Sciences ((CISM,volume 383))

Abstract

Health-education documents can be much more effective in achieving patient compliance if they are customized for individual readers. For this purpose, a medical record can be thought of as an extremely detailed user model of a reader of such a document. The HealthDoc project is developing methods for producing health-information and patient-education documents that are tailored to the individual personal and medical characteristics of the patients who receive them. Information from an on-line medical record or from a clinician will be used as the primary basis for deciding how best to fit the document to the patient. In this paper, we describe our research on three aspects of the project: the kinds of tailoring that are appropriate for health-education documents; the nature of a tailorable master document, and how it can be created; and the linguistic problems that arise when a tailored instance of the document is to be generated.

The HealthDoc project is supported by a grant from Technology Ontario, administered by the Information Technology Research Centre. Vic DiCiccio was instrumental in helping us to obtain the grant, and has been invaluable in subsequent administration. The other members of the HealthDoc project have contributed to the work described here, especially Steve Banks, Phil Edmonds, Mary Ellen Foster, Bruce Jakeway, Jon Litchfield, Daniel Marcu, Peter Vanderheyden, Leo Wanner, John Wilkinson, and Susan Williams. Victor Strecher and Sarah Kobrin kindly discussed details of their research with us. We are grateful to Dominic Covvey, Brigitte Grote, Manfred Stede, Dietmar Rösner, John Bateman, and the patient-education committees of our partner hospitals—Sunnybrook Health Sciences Centre (University of Toronto), Massachusetts General Hospital (Boston), and Peel Memorial Hospital (Brampton, Ontario)— for helpful advice, insightful discussions, and other contributions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Bateman, J.A. (1995). KPML: The KOMET-Penman multilingual linguistic resource development environment. Proceedings, 5th European Workshop on Natural Language Generation, Leiden, May 1995, 219–222.

    Google Scholar 

  • Buchanan, B., Moore, J.D., Forsythe, D.E., Carenini, G., Ohlsson, S., and Banks, G. (1995). An intelligent interactive system for delivering individualized information to patients. Artificial Intelligence in Medicine, 7:117–154.

    Article  Google Scholar 

  • Campbell, M.K., DeVellis, B.M., Strecher, V.J., Ammerman, A.S., DeVellis, R.F., and Sandler, R.S. (1994). Improving dietary behavior: The effectiveness of tailored messages in primary care settings. American Journal of Public Health, 84:783–787.

    Article  Google Scholar 

  • Cawsey, A., Binsted, K., and Jones, R. (1995). Personalized explanations for patient education. Proceedings, 5th European Workshop on Natural Language Generation, Leiden, May 1995, 59–74.

    Google Scholar 

  • DiMarco, C. and Banks, S. (1997). Using subsumption classification on a stylistic hierarchy in the multi-stage conversion of natural language text to sentence plans. In preparation.

    Google Scholar 

  • DiMarco, C. and Foster, M.E. (1997). The automated generation of Web documents that are tailored to the individual reader. Proceedings, AAAI Spring Symposium on Natural Language Processing on the World Wide Web, Stanford University, March 1997.

    Google Scholar 

  • DiMarco, C., Hirst, G., and Hovy, E. (1997). “Rewriting is easier than writing”: Generation by selection and repair in the HealthDoc project. In preparation.

    Google Scholar 

  • DiMarco, C., Hirst, G., Wanner, L., and Wilkinson, J. (1995). HealthDoc: Customizing patient information and health education by medical condition and personal characteristics. Workshop on Artificial Intelligence in Patient Education, Glasgow, August 1995.

    Google Scholar 

  • Donohew, L., Palmgreen, P., and Lorch, E.P. (1994). Attention, need for sensation, and health communication campaigns. American Behavioral Scientist, 38:310–322.

    Article  Google Scholar 

  • Hale, J.L. and Dillard, J.P. (1995). Fear appeals in health promotion campaigns: Too much, too little, or just right? In Maibach and Parrott 1995, 65–80.

    Google Scholar 

  • Hovy, E.H. and Wanner, L. (1996). Managing sentence planning requirements. Proceedings, ECAI-96 Workshop ‘Gaps and Bridges’: New Directions in Planning and Natural Language Generation, Budapest, August 1996.

    Google Scholar 

  • Maibach, E. and Parrott, R.L. (1995). Designing health messages: Approaches from communication theory and public health practice. Thousand Oaks, CA: Sage Publications.

    Google Scholar 

  • Masi, R. (1993). Multicultural health: Principles and policies. In Masi, R., Mensah, L., and McLeod, K.A., eds., Health and cultures: Exploring the relationships. Volume I: Policies, professional practice and education. Oakville, Ontario: Mosaic Press, 11–22.

    Google Scholar 

  • Monahan, J.L. (1995). Thinking positively: Using positive affect when designing health messages. In Maibach and Parrott 1995, 81–98.

    Google Scholar 

  • Parsons, K. (1997). An Authoring Tool for Customizable Documents. M.Math. thesis, Department of Computer Science, University of Waterloo, forthcoming.

    Google Scholar 

  • Penman Natural Language Group (1989). The Penman primer, The Penman user guide, and The Penman reference manual. Information Sciences Institute, University of Southern California.

    Google Scholar 

  • Reiter, E. (1995). NLG vs. templates. Proceedings, 5th European Workshop on Natural Language Generation, Leiden, May 1995, 95–105.

    Google Scholar 

  • Skinner, C.S., Strecher, V.J., and Hospers, H. (1994). Physicians’ recommendations for mammography: Do tailored messages make a difference? American Journal of Public Health, 84:43–49.

    Article  Google Scholar 

  • Strecher, V.J., Kreuter, M., Den Boer, D.-J., Kobrin, S., Hospers, H.J., and Skinner C.S. (1994). The effects of computer-tailored smoking cessation messages in family practice settings. The Journal of Family Practice, 39:262–270.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1997 Springer-Verlag Wien

About this paper

Cite this paper

Hirst, G., DiMarco, C., Hovy, E., Parsons, K. (1997). Authoring and Generating Health-Education Documents That Are Tailored to the Needs of the Individual Patient. In: Jameson, A., Paris, C., Tasso, C. (eds) User Modeling. International Centre for Mechanical Sciences, vol 383. Springer, Vienna. https://doi.org/10.1007/978-3-7091-2670-7_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-7091-2670-7_14

  • Publisher Name: Springer, Vienna

  • Print ISBN: 978-3-211-82906-6

  • Online ISBN: 978-3-7091-2670-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics