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Related Concept Videos

Documentation in Long-Term and Home Healthcare Setting01:29

Documentation in Long-Term and Home Healthcare Setting

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Documentation in long-term care facilities and home healthcare settings is crucial for ensuring continuous, coordinated, and comprehensive care for patients. Each setting has its specific documentation processes and tools:
Long-Term Care Facilities
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Nursing Clinical Information System01:27

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
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Integrated Healthcare System01:20

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An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
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Methods of Documentation VI: Case Management Model01:15

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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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Health Information Technology and Healthcare Information System01:30

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Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
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Methods Of Healthcare Delivery System01:26

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At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
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Related Experiment Video

Updated: Jun 24, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Optimized continuous homecare provisioning through distributed data-driven semantic services and cross-organizational

Mathias De Brouwer1, Pieter Bonte2, Dörthe Arndt3

  • 1Department of Information Technology, IDLab - Ghent University - imec, 9052, Ghent, Belgium. Mathias.DeBrouwer@UGent.be.

Journal of Biomedical Semantics
|June 6, 2024
PubMed
Summary
This summary is machine-generated.

A new architecture using Semantic Web technologies optimizes healthcare coordination for better continuous care. This approach enhances data sharing and personalized services in homecare settings.

Keywords:
Continuous homecareCross-organizational workflowsData-driven serviceDistributed architectureHealthcareStream reasoning

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Area of Science:

  • Computer Science
  • Health Informatics
  • Artificial Intelligence

Background:

  • Increasing collaboration among healthcare providers necessitates efficient data and workflow coordination, especially with the shift to homecare.
  • Machine-interpretable and reusable data exposure is crucial for optimal patient care.
  • There is a need for smart, dynamic, personalized, and performant services with flexible workflows that meet quality constraints.

Purpose of the Study:

  • To present a distributed, generic, cascading reasoning reference architecture for healthcare data and workflow coordination.
  • To demonstrate the use of Semantic Web technologies for data-driven semantic services and cross-organizational workflows.
  • To evaluate the performance and usability of the proposed architecture in a realistic homecare scenario.

Main Methods:

  • A reference architecture instantiated with Semantic Web tools: RMLStreamer for Linked Data generation, DIVIDE for adaptive querying, Streaming MASSIF for service deployment, and AMADEUS for workflow composition.
  • Configuration of rules using RMLEditor and Matey for Linked Data generation.
  • Development of a use case demonstrator for personalized smart monitoring and cross-organizational treatment planning.

Main Results:

  • The monitoring pipeline efficiently processes 14 observations per second.
  • Key operations like mapping JSON to RDF (13.5 ms), fever alarm generation (26.4 ms), and smart notification (1539.5 ms) showed good performance.
  • Treatment plan construction and conflict detection were completed in 190.8 ms and 1335.7 ms, respectively, demonstrating feasibility.

Conclusions:

  • Existing Semantic Web technologies can be effectively leveraged to optimize continuous healthcare provisioning.
  • The evaluation confirms the applicability, usability, and good performance of the architecture's components in a homecare setting.
  • Further development of user interfaces is recommended to enhance tool adoption and integration.