AI Enhanced Services in Person-Centred Care in Neurology

Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 128)


The Person-centred care (PCC) is an innovative approach that sees patients as equal partners in the planning, development and delivery of care, and active participants in the management of their health and wellbeing. Preliminary research over PCC applications showed advances in concordance between care provider and patient on treatment plans, improved health outcomes and increased patient satisfaction. On the other side, AI has promising potentials to support and enhance PCC services and improve their functioning. This paper presented results of preliminary research aimed on identification of AI enhanced services applied in PCC settings within neurology department, with special focus on stroke patients and their rehabilitation process.


Artificial intelligence Person-centred care Neurology 



Presented research is conducted within National Scientific Research project “AI Enhanced Person-Centred Care in Neurosurgery (AI4NeuroPCC)”, funded by Ministry of Science Montenegro (2019–2021).


  1. 1.
    Ekman, I., Swedberg, K., Taft, C., Lindseth, A., Norberg, A., Brink, E., Carlsson, J., Dahlin-Ivanoff, S., Johansson, I., Kjellgren, K., Lidén, E., Öhlén, J., Olsson, L., Rosén, H., Rydmark, M., Sunnerhagen, K.: Person-centred care- ready for prime time. Eur. J. Cardiovasc. Nurs. 10(4), 248–251 (2011)CrossRefGoogle Scholar
  2. 2.
    WHO: Public Health Principles and Neurological Disorders, WHO (2006)Google Scholar
  3. 3.
    Lloyd, H.M., Pearson, M., Sheaff, R., Asthana, S., Wheat, H., Sugavanam, T.P., Britten, N., Valderas, J., Bainbridge, M., Witts, L., Westlake, D., Horrell, J., Byng, R.: Collaborative action for person-centred coordinated care (P3C): an approach to support the development of a comprehensive system-wide solution to fragmented care. Health Res. Pol. Syst. 15, 98 (2017)CrossRefGoogle Scholar
  4. 4.
    Ekman, I.: The GPCC. Eur. Heart J. 39(7), 495–496 (2018)CrossRefGoogle Scholar
  5. 5.
    Dilsizian, S.E., Siegel, E.L.: Artificial intelligence in medicine and cardiac imaging: harnessing big data and advanced computing to provide personalized medical diagnosis and treatment. Curr. Cardiol. Rep. 16, 441 (2015)CrossRefGoogle Scholar
  6. 6.
    Ognjanović, I., Gašević, D., Bagheri, E.: A stratified framework for handling conditional preferences: an extension of the analytic hierarchy process. Exp. syst. Appl. 40(4), 1094–1115 (2013)CrossRefGoogle Scholar
  7. 7.
    Farahani, B., Firouzi, F., Chang, V., Badaroglu, M., Constant, N., Mankodiya, K.: Towards fog-driven IoT eHealth: promises and challenges of IoT in medicine and healthcare. Fut. Gener. Comput. Syst. 78(2), 659–676 (2018)CrossRefGoogle Scholar
  8. 8.
    Artificial Intelligence for Health and Health Care, Office of the National Coordinator for Health Information Technology (ONC) (2017)Google Scholar
  9. 9.
    Šendelj, R., Ognjanović, I.: Multi-criteria decision making for optimal configuration of business process model families. Inf. Technol. Control 47(3), 532–563 (2018)Google Scholar
  10. 10.
    Saaty, T.L.: The Analytic Hierarchy Process. McGraw-Hill, New York (1980)zbMATHGoogle Scholar
  11. 11.
    Domshlak, C., Brafman, R.I.: Introducing variable importance tradeoffs into CP-nets. In: The Eighteenth Conference on Uncertainty in AI (2002)Google Scholar
  12. 12.
    Chen,S., Buffett, S., Fleming, M.W.: Reasoning with conditional preferences across attributes. In: The 20th Conference of the Canadian Society for Computational Studies of Intelligence on Advances in Artifical Intelligence, Montreal, Canada (2007)Google Scholar
  13. 13.
    Nešić, D., Krüger, J., Stănciulescu, Ș., Berger, T.: Principles of feature modeling. In: ESEC/FSE 2019: Proceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering (2019)Google Scholar

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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.University of Donja GoricaPodgoricaMontenegro

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