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Intelligent Systems for Sustainable Person-Centered Healthcare

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  • Open Access
  • © 2022

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Overview

Editors:
  1. Dalia Kriksciuniene

    1. Vilnius University, Vilnius, Lithuania

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    You can also search for this editor in PubMed   Google Scholar

  2. Virgilijus Sakalauskas

    1. Vilnius University, Vilnius, Lithuania

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  • Provides an in-depth study of person-centered healthcare conceptual background
  • Presents modeling, simulation, implementation, and advanced monitoring aspects
  • Offers a multidisciplinary approach-based study joining efforts of author teams coming from the international community
  • This is an open access book

Part of the book series: Intelligent Systems Reference Library (ISRL, volume 205)

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Table of contents (12 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Person-Centred Healthcare System: Concept and Technological Requirements

    1. Front Matter

      Pages 1-1
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    2. Analysis and Conceptualization of Healthcare Systems and Training in the Context of Technological Innovation and Personalization

      • Brenda Bogaert, António Casa Nova, Serap Ejder Apay, Zeynep Karaman Özlü, Paulo Melo, Jean-Philippe Pierron et al.
      Pages 3-22Open Access
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    3. Person-Centred Care, Theory, Operationalisation and Effects

      • Inger Ekman, Karl Swedberg
      Pages 23-33Open Access
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    4. Person-Centred Care Implementation: Design and Evaluation Considerations

      • Heather L. Rogers, Vítor Raposo, Maja Vajagic, Bojana Knezevic
      Pages 35-51Open Access
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    5. Person-Centred Care Interventions in Pharmaceutical Care

      • Valentina Marinkovic, Marina Odalovic, Ivana Tadic, Dusanka Krajnovic, Irina Mandic, Heather L. Rogers
      Pages 53-68Open Access
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  3. Efficiency Evaluation, Decision-Making and Sustainability in Person-Centred Healthcare

    1. Front Matter

      Pages 67-67
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    2. Shared Decision Making

      • Valentina Marinkovic, Heather L. Rogers, Roman Andrzej Lewandowski, Ivana Stevic
      Pages 71-90Open Access
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    3. Advancement of Efficiency Evaluation for Healthcare

      • Fabien Canolle, Darijana Antonić, António Casa Nova, Anatoliy Goncharuk, Paulo Melo, Vítor Raposo et al.
      Pages 91-118Open Access
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    4. An Overview of Measurement Systems and Practices in Healthcare Systems Applied to Person-Centred Care Interventions

      • Vítor Raposo, Darijana Antonić, António Casa Nova, Roman Andrzej Lewandowski, Paulo Melo
      Pages 119-143Open Access
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    5. Studying the Impact of Human Resources on the Efficiency of Healthcare Systems and Person-Centred Care

      • Bojana Knezevic, Roman Andrzej Lewandowski, Anatoliy Goncharuk, Maja Vajagic
      Pages 145-164Open Access
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  4. Intelligent Systems and Their Application in Healthcare

    1. Front Matter

      Pages 161-161
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    2. Overview of the Artificial Intelligence Methods and Analysis of Their Application Potential

      • Dalia Kriksciuniene, Virgilijus Sakalauskas
      Pages 167-183Open Access
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    3. Discovering Healthcare Data Patterns by Artificial Intelligence Methods

      • Dalia Kriksciuniene, Virgilijus Sakalauskas, Ivana Ognjanović, Ramo Šendelj
      Pages 185-210Open Access
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    4. Probabilistic Modelling and Decision Support in Personalized Medicine

      • Michal Javorník, Otto Dostál, Aleš Roček
      Pages 211-223Open Access
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    5. Knowledge-Based UML Dynamic Models Generation from Enterprise Model in Hospital Information Management Process Example

      • Ilona Veitaite, Audrius Lopata
      Pages 225-250Open Access
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Keywords

About this book

This open access book establishes a dialog among the medical and intelligent system domains for igniting transition toward a sustainable and cost-effective healthcare. The Person-Centered Care (PCC) positions a person in the center of a healthcare system, instead of defining a patient as a set of diagnoses and treatment episodes. The PCC-based conceptual background triggers enhanced application of Artificial Intelligence, as it dissolves the limits of processing traditional medical data records, clinical tests and surveys. Enhanced knowledge for diagnosing, treatment and rehabilitation is captured and utilized by inclusion of data sources characterizing personal lifestyle, and health literacy, and it involves insights derived from smart ambience and wearables data, community networks, and the caregivers’ feedback. The book discusses intelligent systems and their applications for healthcare data analysis, decision making and process design tasks. The measurement systems and efficiency evaluation models analyze ability of intelligent healthcare system to monitor person health and improving quality of life. 

Editors and Affiliations

  • Vilnius University, Vilnius, Lithuania

    Dalia Kriksciuniene, Virgilijus Sakalauskas

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