TENSSION: A Tool for the Medical Patient Follow-Up

  • Del Rey Ignacio
  • Ana Belén Gil
  • R. González-Celador
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 71)


This paper presents the tool, called “TENSSION”. This tool allows an exhaustive follow-up of a patient’s stay in the centre to be made, storing each of the admissions, the Services through which he or she passed and a list of daily annotations containing the most important data, to carry out statistical studies with the data from the centre in a more general way and thus have information about patient functioning and evolution and, in turn, have a means to generate alerts when possible complications arise.


Health tools preventive medicine monitoring patient medical data 


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  1. 1.
    Dudman, J.: Electronic patient records: facts at their fingertips. Health Service Journal 110(5728 suppl.), 9, 10, 113 (2000)Google Scholar
  2. 2.
    Dugas, M., Uberla, K.: MediDOK: an Intranet tool for XML-based data modelling in medicine. Studies in Health Technology and Informatics 22, 983–987 (2000)Google Scholar
  3. 3.
    Espinosa, A.: Implementing an ICU-CIS integrated to an HIS in Latin America. Studies in Health Technology and Informatics 77, 916–920 (2000)Google Scholar
  4. 4.
    Greemes, D.S., Fleisher, G.R., Kohane, I.: Potential impact of a computerized system to report late-arriving laboratory results in the emergency department. Pediatric Emergency Care 16, 313–315 (2000)CrossRefGoogle Scholar
  5. 5.
    Knaup, P., Mludek, V., Wiedemann, T., et al.: Integrating specialized application systems into hospital information systems: obstacles and factors for success. Studies in Health Technology and Informatics 77, 890–894 (2000)Google Scholar
  6. 6.
    Modai, I., Rabinowitz, J.: Why and how to establish a computerized system for psychiatric case records. Hospital and Community Psychiatry 44, 1091–1095 (1993)Google Scholar
  7. 7.
    Suetens, C., Morales, I., Savey, A., Palomar, M., Hiesmayr, M., Lepape, A., Gastmeier, P., Schmit, J., Valinteliene, R., Fabry, J.: European surveillance of ICU-acquired infections (HELICS-ICU): methods and main results. Journal of Hospital Infection 65, 171–173Google Scholar
  8. 8.
    Gall, J.-R., et al.: A Simplified Acute Physiology Score for ICU Patients. Crit. Care Med. 12(11) (November 1984)Google Scholar
  9. 9.
    Zimmerman, J.E., Kramer, A.A., McNair, D.S., Malila, F.M.: Acute Physiology and Chronic Health Evaluation (APACHE) IV. Critical Care Medicine 34(5), 1297–1310 (2006)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Del Rey Ignacio
    • 1
  • Ana Belén Gil
    • 1
  • R. González-Celador
    • 2
  1. 1.Department of Computer Science and Automation – Faculty of SciencesUniversity of SalamancaSpain
  2. 2.Department of Preventive Medicine and Public HealthUniversity of Salamanca 

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