Advertisement

A System for the Management of Clinical Tasks Throughout the Clinical Process with Notification Features

  • António Silva
  • Tiago OliveiraEmail author
  • José Neves
  • Ken Satoh
  • Paulo Novais
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10685)

Abstract

Computer-Interpretable Guidelines have been associated with a higher integration of standard practices in the daily context of health care institutions. The Clinical Decision Support Systems that deliver these machine-interpretable recommendations usually follow a Q&A style of communication, retrieving information from the user or a clinical repository and performing reasoning upon it, based on the rules from Clinical Practice Guidelines. However, these systems are limited in the reach they are capable of achieving as they were initially conceived for use in very specific moments of the clinical process, namely in physician appointments. The purpose of this work is thus to present a system that, in addition to Q&A reasoning, is equipped with other functionalities such as the scheduling and temporal management of clinical tasks, the mapping of these tasks onto an agenda of activities to allow an easy consultation by health care professionals, and notifications that let health care professionals know of task enactment times and information collection times. In this way, the system ensures the delivery of procedures. The main components of the system, which reflect a different perspective on the delivery of CIG advice that we call guideline as a service, are disclosed, and they include a health care Personal Assistant Web Application, a health care assistant mobile application, and the integration with the private calendar services of the user.

Notes

Acknowledgements

This work has been supported by COMPETE: POCI-01-0145-FEDER-0070 43 and FCT – Fundação para a Ciência e Tecnologia within the Project Scope UID/CEC/ 00319/2013.

References

  1. 1.
    Benson, A., Bekaii-Saab, T., Chan, E., Chen, Y.J., Choti, M., Cooper, H., Engstrom, P.: NCCN clinical practice guideline in oncology colon cancer. Technical report, National Comprehensive Cancer Network (2013)Google Scholar
  2. 2.
    Berg, D., Ram, P., Glasgow, J., Castro, J.: SAGEDesktop: an environment for testing clinical practice guidelines. In: The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, vol. 4, pp. 3217–3220 (2004)Google Scholar
  3. 3.
    Boxwala, A.A., Peleg, M., Tu, S., Ogunyemi, O., Zeng, Q.T., Wang, D., Patel, V.L., Greenes, R.A., Shortliffe, E.H.: GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J. Biomed. Inform. 37(3), 147–161 (2004)CrossRefGoogle Scholar
  4. 4.
    Costa, A., Novais, P., Corchado, J.M., Neves, J.: Increased performance and better patient attendance in an hospital with the use of smart agendas*. Logic J. IGPL 20(4), 689 (2012)MathSciNetCrossRefGoogle Scholar
  5. 5.
    Google Developers: Get Started with the Calendar API (2016). https://developers.google.com/google-apps/calendar/overview
  6. 6.
    Isern, D., Moreno, A.: Computer-based execution of clinical guidelines: a review. Int. J. Med. Inform. 77(12), 787–808 (2008)CrossRefGoogle Scholar
  7. 7.
    Jiang, J., Khelifi, F., Trundle, P., Geven, A.: HERMES: a FP7 funded project towards the development of a computer-aided memory management system via intelligent computations. J. Assistive Technol. 3(3), 27–35 (2009)CrossRefGoogle Scholar
  8. 8.
    Kaiser, K., Miksch, S.: Versioning computer-interpretable guidelines: semi-automatic modeling of ‘Living Guidelines’ using an information extraction method. Artif. Intell. Med. 46(1), 55–66 (2009)CrossRefGoogle Scholar
  9. 9.
    Lima, L., Novais, P., Neves, J., Bulas, C.J., Costa, R.: Group decision making and quality-of-information in e-health systems. Logic J. IGPL 19(2), 315–332 (2011)MathSciNetCrossRefGoogle Scholar
  10. 10.
    Lohr, K.N., Field, M.J., et al.: Clinical Practice Guidelines: Directions for a New Program, vol. 90. National Academies Press, Washington, DC (1990)Google Scholar
  11. 11.
    Musen, M.A., Shahar, Y., Shortliffe, E.H.: Clinical decision-support systems. In: Shortliffe, E., Cimino, J. (eds.) Biomedical Informatics. Health Informatics, pp. 698–736. Springer, New York (2006).  https://doi.org/10.1007/978-0-387-21721-5_16 CrossRefGoogle Scholar
  12. 12.
    Novais, P., Costa, R., Carneiro, D., Neves, J.: Inter-organization cooperation for ambient assisted living. J. Ambient Intell. Smart Environ. 2(2), 179–195 (2010)Google Scholar
  13. 13.
    Oliveira, T., Leão, P., Novais, P., Neves, J.: Webifying the computerized execution of clinical practice guidelines. In: Perez, J.B., et al. (eds.) Trends in Practical Applications of Heterogeneous Multi-Agent Systems. The PAAMS Collection. AISC, vol. 293, pp. 149–156. Springer, Cham (2014).  https://doi.org/10.1007/978-3-319-07476-4_18 CrossRefGoogle Scholar
  14. 14.
    Oliveira, T., Novais, P., Neves, J.: Representation of clinical practice guideline components in OWL. In: Pérez, J.B., et al. (eds.) Trends in Practical Applications of Agents and Multiagent Systems. AISC, vol. 221, pp. 77–85. Springer, Cham (2013).  https://doi.org/10.1007/978-3-319-00563-8_10 CrossRefGoogle Scholar
  15. 15.
    Oliveira, T., Silva, A., Neves, J., Novais, P.: Decision support provided by a temporally oriented health care assistant. J. Med. Syst. 41(1), 1–13 (2017)CrossRefGoogle Scholar
  16. 16.
    Peleg, M.: Computer-interpretable clinical guidelines: a methodological review. J. Biomed. Inform. 46(4), 744–63 (2013)CrossRefGoogle Scholar
  17. 17.
    Picking, R., Robinet, A., Grout, V., McGinn, J., Roy, A., Ellis, S., Oram, D.: A case study using a methodological approach to developing user interfaces for elderly and disabled people. Comput. J. 53(6), 842 (2010)CrossRefGoogle Scholar
  18. 18.
    Riontech/customcalendar: Custom Android Calendar. https://github.com/Riontech/CustomCalendar
  19. 19.
    Shahar, Y., Miksch, S., Johnson, P.: The Asgaard project: a task-specific framework for the application and critiquing of time-oriented clinical guidelines. Artif. Intell. Med. 14(1–2), 29–51 (1998)CrossRefGoogle Scholar
  20. 20.
    Shalom, E., Shahar, Y., Lunenfeld, E.: An architecture for a continuous, user-driven, and data-driven application of clinical guidelines and its evaluation. J. Biomed. Inform. 59, 130–148 (2015)CrossRefGoogle Scholar
  21. 21.
    Silberstein, S.: Clinical practice guidelines. J. Neurosurg. Pediatr. 25(10), 765–766 (2005)Google Scholar
  22. 22.
    Silva, A., Oliveira, T., Neves, J., Novais, P.: Transforming medical advice into clinical activities for patient follow-up. In: Bajo, J., et al. (eds.) PAAMS 2017, vol. 722, pp. 169–176. Springer, Cham (2017).  https://doi.org/10.1007/978-3-319-60285-1_14 CrossRefGoogle Scholar
  23. 23.
    Terenziani, P., Montani, S., Bottrighi, A., Torchio, M., Molino, G., Correndo, G.: The GLARE approach to clinical guidelines: main features. Stud. Health Technol. Inform. 101(3), 162–6 (2004)Google Scholar
  24. 24.
    Wang, D., Peleg, M., Tu, S.W., Boxwala, A.A., Ogunyemi, O., Zeng, Q., Greenes, R.A., Patel, V.L., Shortliffe, E.H.: Design and implementation of the GLIF3 guideline execution engine. J. Biomed. Inform. 37(5), 305–318 (2004)CrossRefGoogle Scholar
  25. 25.
    Young, O., Shahar, Y.: The spock system: developing a runtime application engine for hybrid-asbru guidelines. Artif. Intell. Rev. 3581(1), 166–170 (2005)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Algoritmi Centre/Department of InformaticsUniversity of MinhoBragaPortugal
  2. 2.National Institute of InformaticsTokyoJapan

Personalised recommendations