Patient Modeling Using Mind Mapping Representation as a part of Nursing Care Plan

  • Hye-Young Ahn
  • Eunja Yeon
  • Eunmi Ham
  • Woojin Paik
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3994)


Nursing care plan reports are one of the most important documents in the application of nursing processes. In this paper, we describe how a text discourse analysis and an information extraction system can be used to convert a traditional nursing care plan into a mind mapping representation. Mind mapping is a process to allow the nurses to focus on the patients rather than on a disease process. Mind mapping encourages the nurses to maintain a holistic view of the patient. A mind mapping representation refers to a visual picture of a patient at the center with various nursing care related information visually linked to the patient’s form. Our goal is to develop visually browsable models of the patients to aid in the nursing process education and also help the nurses focus on the patients in the actual care settings.


Care Plan Patient Modeling Mind Mapping Information Extraction System Nursing Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Sparks, S.M., Taylor, C.M.: Nursing Diagnosis Reference Manual, 5th edn., Springhouse, Pennsylvania (2000)Google Scholar
  2. 2.
    Doenges, M., Moorehead, M.F.: Application of Nursing Process and Nursing Diagnosis: An Interactive Text for Diagnostic Reasoning, 4th edn. F.A. Davis Co., Philadelphia (2003)Google Scholar
  3. 3.
    Mueller, A., Johnston, M., Bligh, D.: Joining mind mapping and care planning to enhance student critical thinking and achieve holistic nursing care. Nursing Diagnosis 13(1), 24–27 (2002)Google Scholar
  4. 4.
    Jones, L.B.: Pragmatic aspects of English text structure. Summer Institute of Linguistics, Arlington, TX (1983)Google Scholar
  5. 5.
    Rumelhart, D.: Understanding and summarizing brief stories. In: LaBerge, D., Samuels, S.J. (eds.) Basic processes in reading: Perception and comprehension, pp. 265–303. Lawrence Earlbaum Associates, Hillsdale (1977)Google Scholar
  6. 6.
    Rumelhart, D.: Schemata: the building blocks of cognition. In: Spiro, R., Bruce, B., Brewer, W. (eds.) Theoretical issues in reading comprehension: Perspectives from cognitive psychology, linguistics, artificial intelligence and education, pp. 33–38. Lawrence Earlbaum Associates, Hillsdale (1980)Google Scholar
  7. 7.
    van Dijk, T.A.: News analysis: Case studies of international and national news in the press. Lawrence Earlbaum Associates, Hillsdale (1988)Google Scholar
  8. 8.
    Cohen, R.: Analyzing the structure of argumentative discourse. Computational Linguistics 13, 11–24 (1987)Google Scholar
  9. 9.
    Alvarado, S.J.: Understanding editorial text: A computer model of argument comprehension. Kluwer Academic Publishers, Boston (1990)Google Scholar
  10. 10.
    Liddy, E.D.: The discourse-level structure of empirical abstracts: An exploratory study. Information Processing and Management 27(1), 55–81 (1991)CrossRefGoogle Scholar
  11. 11.
    Liddy, E.D., McVearry, K.A., Paik, W., Yu, E., McKenna, M.: Development, Implementation and Testing of a Discourse Model for Newspaper Texts. In: Proceedings of a Human Language Technology Workshop, Plainsboro, NJ, pp. 159–164. Morgan Kaufmann Publishers, San Francisco (1993)CrossRefGoogle Scholar
  12. 12.
    Paik, W., Lee, J.: Extracting Legal Propositions from Appellate Decisions with Text Discourse Analysis Methods. In: Meersman, R., Tari, Z., Corsaro, A. (eds.) OTM-WS 2004. LNCS, vol. 3292, pp. 621–633. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  13. 13.
    Pearl, J.: Probabilistic reasoning in intelligent systems: networks of plausible inference. Morgan Kaufmann Publishers, San Francisco (1988)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Hye-Young Ahn
    • 1
  • Eunja Yeon
    • 2
  • Eunmi Ham
    • 2
  • Woojin Paik
    • 3
  1. 1.Dept. of NursingEulji UniversityDaejeonKorea
  2. 2.Dept. of Nursing ScienceKonkuk UniversityChungcheongbuk-DoKorea
  3. 3.Dept of Computer ScienceKonkuk UniversityChungcheongbuk-DoKorea

Personalised recommendations