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Related Concept Videos

Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is limited...
Integrated Healthcare System01:20

Integrated Healthcare System

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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Implementation is the execution of the nursing care plan developed during the planning phase.
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Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
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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.
Critical attributes of NCIS include:

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Embedded Research in a Learning Health System: How a Research-Operations Partnership Informed the Development,

Rendelle Bolton1, Steven B Zeliadt2,3, Justeen Hyde1,4

  • 1VA Bedford Healthcare System Center for Health Optimization and Implementation Research Bedford Massachusetts USA.

Learning Health Systems
|January 26, 2026
PubMed
Summary
This summary is machine-generated.

Embedded research partnerships accelerate evidence-based healthcare transformation. Collaboration and continuous learning were key to refining the Whole Health System (WHS) and scaling effective practices.

Keywords:
embedded researchhealth system transformationlearning health systemveteranswhole health

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Area of Science:

  • Implementation Science
  • Health Services Research
  • Healthcare Management

Background:

  • Embedded research partnerships are crucial for advancing evidence-based policies and practices in healthcare.
  • Transforming care delivery models, like the Department of Veterans Affairs' Whole Health System (WHS), benefits from continuous evaluation and implementation cycles.
  • This paper details a successful embedded research partnership supporting the VA's WHS transformation.

Purpose of the Study:

  • To describe how embedded researchers partnered with policymakers to support the development, implementation, and scaling of the VA's Whole Health System (WHS).
  • To illustrate key lessons learned from this embedded research initiative for future applications.
  • To demonstrate the iterative impact of embedded research across different phases of healthcare transformation.

Main Methods:

  • Conducted 58 embedded research projects from FY2013 to FY2024.
  • Utilized qualitative, survey, and large database methods to collect data on project scope, methodology, results, products, and impact.
  • Mapped projects to Kilbourne's Knowledge to Action Framework (Pre-Implementation, Implementation, Sustainment) to analyze evaluation and outcome assessment.

Main Results:

  • Generated 380 discrete products used to refine the WHS model, improve implementation support, scale practices, inform policy, and sustain transformation.
  • Identified agility, collaboration, and continuous learning and improvement as critical success factors for the embedded research partnership.
  • Demonstrated how research questions and methods evolved across pre-implementation, implementation, and sustainment phases, iteratively informing WHS transformation.

Conclusions:

  • Embedded research effectively translates data into practice, enabling evidence-based policy and practice decisions in healthcare systems.
  • A strong research-operations partnership, built on trust, respect, and communication, is essential for generating evidence to inform implementation and impact.
  • This model of embedded research can transform healthcare systems by supporting ongoing program evolution and evidence-based decision-making.