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Related Concept Videos

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Current Trends in Nursing II01:30

Current Trends in Nursing II

Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
Current Trends in Nursing I01:28

Current Trends in Nursing I

Current trends in nursing include:
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.
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Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
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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:

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Digital Maturity as a Precondition for Scaling AI in a Healthcare Infrastructure.

Gro-Hilde Severinsen1, Line Silsand1

  • 1Norwegian center for e-health research.

Studies in Health Technology and Informatics
|July 3, 2026
PubMed
Summary
This summary is machine-generated.

Digital maturity is key for implementing artificial intelligence (AI) in radiology. Hospitals need parallel growth in organizational, technical, and clinical readiness for safe and scalable AI integration.

Keywords:
AI Implementationdigital maturityinformation infrastructure

Related Experiment Videos

Area of Science:

  • Radiology
  • Medical Informatics
  • Health Services Research

Background:

  • Artificial intelligence (AI) shows promise in radiology, but clinical adoption is slow.
  • Digital maturity, encompassing organizational, technical, and clinical readiness, is crucial for AI implementation.
  • Existing information infrastructure plays a role in AI scalability.

Purpose of the Study:

  • To examine how digital maturity influences the implementation and scaling of AI in radiology.
  • To analyze the interdependent factors of organizational, technical, and clinical readiness for AI adoption.
  • To evaluate the impact of a large-scale commercial radiology AI tool deployment.

Main Methods:

  • A five-year formative evaluation of Norway's first large-scale commercial radiology AI deployment.
  • Analysis of changes in organizational, technical, and clinical maturity over time.
  • Assessment of how these dimensions interact and influence AI integration.

Main Results:

  • Organizational maturity improved via structured change management and adapted workflows.
  • Technical maturity advanced through platform-based, privacy-preserving architectures.
  • Clinical maturity evolved through clinician negotiation of AI roles and responsibilities.

Conclusions:

  • Weaknesses in organizational, technical, or clinical maturity hinder AI progress.
  • Parallel development of digital maturity dimensions is essential for safe, scalable AI integration in healthcare.
  • Successful AI implementation requires a holistic approach to digital readiness.