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Related Concept Videos

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,...
Nursing Clinical Information System01:27

Nursing Clinical Information System

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:
Health Information Technology and Healthcare Information System01:30

Health Information Technology and Healthcare Information System

Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Tertiary Healthcare System01:21

Tertiary Healthcare System

Specialized care provided over an extended period is called tertiary care. Usually, a primary or secondary care physician will refer a patient to tertiary care. A patient's maximum physical and mental function is restored in tertiary care, which is caused due to the impact of a chronic illness or condition. Tertiary care aims to achieve the highest level of functioning possible while managing chronic illness. For example, a patient who falls and fractures their hip will need secondary care to...
Introduction To Health Care Delivery System01:18

Introduction To Health Care Delivery System

The healthcare system is constantly changing and complex. Various services are available from different healthcare providers, but gaining access to these services has become challenging for people with limited healthcare insurance. Uninsured people present a challenge to healthcare because they frequently postpone or forego treatment.
The Institute of Medicine (IOM) advocates for a patient-centered, effective, safe, timely, equitable, and effective healthcare system. The National Priorities...
Secondary Healthcare System01:11

Secondary Healthcare System

Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...

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  1. Home
  3. From Integrated Care To Learning Systems.
  1. Home
  3. From Integrated Care To Learning Systems.

Related Experiment Videos

From Integrated Care to Learning Systems.

Aristeidis Tsitiridis1,2, Konstantinos Perakis3, Athos Antoniades4

  • 1Face Recognition & Artificial Vision, Escuela Técnica Superior de Ingeniería Informática (ETSII), Universidad Rey Juan Carlos, Calle Tulipan S/N, 28933 Mostoles, Madrid, Spain.

Healthcare (Basel, Switzerland)
|June 26, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Digital infrastructures and AI are key to integrated care, but progress is stalled at Type IV maturity due to implementation barriers. Organizational and payment integration, not just digital tools, drive advancement in AI-enabled integrated care systems.

Keywords:
EU AI ActFUTURE-AIPRISMA-ScRartificial intelligencedata governanceglobal healthhealthy ageingintegrated careintegrated care modelslarge language modelslearning health systemsmultimodal analyticsscoping reviewstewarded learning

Related Experiment Videos

Area of Science:

  • Health Services Research
  • Digital Health
  • Machine Learning
  • Artificial Intelligence (AI) in Healthcare

Background:

  • Integrated care models are increasingly reliant on digital infrastructures, data governance, and AI-enabled analytics.
  • The existing literature on this topic is fragmented across multiple research domains.
  • Understanding the evolution and impact of these integrated care models is crucial for sustainable scaling.

Purpose of the Study:

  • To conduct a scoping review mapping the evolution of integrated care models.
  • To identify digital and AI-enabled infrastructures supporting these models.
  • To evaluate the clinical, economic, and equity impacts and implications for sustainable scaling.

Main Methods:

  • A comprehensive scoping review following PRISMA-ScR guidance.
  • Searches conducted in PubMed, Scopus, Semantic Scholar, and Crossref, supplemented by grey literature.
  • Synthesis of 192 included studies across four domains: conceptual foundations, AI/analytics, implementation barriers, and digital governance.

    • Main Results:

    • Most integrated care deployments are at a Type IV maturity (digitally integrated, weakly adaptive), hindering progression to Type V (learning systems).
    • Recurrent failure modes include temporal blind spots, maintenance debt, semantic drift, and governance gaps.
    • Organizational and payment integration, rather than digital sophistication alone, are the primary drivers of progress globally.

    Conclusions:

    • AI-enabled integrated care is an emerging design space, not a finalized model.
    • Sustainable scaling requires longitudinal data assets, stewarded model lifecycles, accountable governance, and outcome-based contracting.
    • Focusing on organizational and payment integration is essential for advancing AI-enabled integrated care systems.