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Related Concept Videos

Restorative Care01:19

Restorative Care

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Restorative care is provided once a patient has been discharged from a healthcare facility and requires additional services. The additional services include home care, rehabilitation programs, and extended care. Restorative care centers help the patient regain their previous level of functioning or acquire a new level of functioning due to the incapacitating effects of a disease or a disability. It aims to assist patients in enhancing their quality of life by encouraging independence,...
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The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
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Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Technically Representing Clinical Knowledge for Rehabilitation Care.

Kai Gand1, Lars Böcking2, Karl Kreiner3

  • 1Technische Universität Dresden, Faculty of Business and Economics, Chair of Wirtschaftsinformatik, esp. Systems Development, Germany.

Studies in Health Technology and Informatics
|May 27, 2021
PubMed
Summary
This summary is machine-generated.

Virtual coaches (VCs) can improve home rehabilitation continuity after hospital discharge. This approach uses clinical pathways and machine learning to personalize patient care and enhance independence.

Keywords:
Clinical pathwaysMachine learningVirtual Coaching

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Area of Science:

  • Digital Health and Rehabilitation Technology
  • Artificial Intelligence in Healthcare
  • Patient-Centered Care Models

Background:

  • Continuity of care is frequently disrupted during the transition from hospital to home, impacting patient independence and quality of life.
  • Personalized home rehabilitation programs are crucial for recovery but require effective patient engagement and guidance.
  • Existing systems often lack the ability to represent complex clinical knowledge and adapt to individual patient needs.

Purpose of the Study:

  • To present a technical approach for developing virtual coaches (VCs) to support personalized home rehabilitation.
  • To address the challenge of representing clinical knowledge and guiding patients through rehabilitation procedures.
  • To enhance the continuity of care for individuals recovering from acute episodes or chronic diseases.

Main Methods:

  • Development of a system integrating semi-formal clinical pathway models with machine learning components.
  • Implementation of powerful user interfaces to deliver pathway information and feed the virtual coach.
  • Utilizing procedural precepts to guide patients in personalized, medically appropriate rehabilitation exercises.

Main Results:

  • A technical framework for virtual coaches that combines structured clinical knowledge with adaptive learning capabilities.
  • The system is designed to provide personalized guidance, mimicking aspects of formal caregiver support.
  • The approach facilitates the representation of clinical knowledge for effective patient coaching.

Conclusions:

  • The proposed system offers a novel solution for bridging the gap in post-hospitalization care continuity.
  • Virtual coaches, powered by clinical pathways and machine learning, show potential for enhancing home-based rehabilitation.
  • Ongoing participatory design and user feedback (Living Lab) are crucial for refining the system and validating its effectiveness.