Healthcare standards & requirements

Healthcare

Magazine26 January 2026

DNV International Accreditation Standards (DIAS) 2026

The DNV International Accreditation Standards (DIAS) define a robust, internationally applicable framework for quality, safety, and governance in healthcare organisations. Aligned with the NIAHO® mode...

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Healthcare

Magazine04 August 2025

NIAHO requirements, Revision 25-1 Updated

Effective September 8, 2025, Revision 25-1 (Updated) supersedes all prior revisions of the NIAHO® Accreditation Requirements, Interpretive Guidelines and Surveyor Guidance for Hospitals and Critical A...

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Healthcare

Magazine13 June 2025

Integrated Stroke Center Program Requirements 25-0

The Integrated Stroke Center Certification Program Requirements, Version 25-0 is a singular document that combines what were previously four separate manuals that outlined the standards and requiremen...

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Healthcare

Paper17 March 2025

Insights into suggested Responsible AI (RAI) practices in real-world settings

When planning to use AI-based tools in the healthcare services, it is vital to understand that there are significant differences between ordinary software and AI products.

Healthcare

Magazine27 February 2025

NIAHO® Accreditation Requirements, Interpretive Guidelines & Surveyor Guidance for Critical Access Hospitals, Revision 25-0

NIAHO® accreditation requirements for critical access hospitals

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Healthcare

Whitepaper10 December 2024

Ensuring Safe and Trustworthy AI

Explore the EU AI Act from a healthcare perspective

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Healthcare

Paper01 November 2024

Artificial intelligence in the health sector – a guide

When planning to use AI-based tools in the healthcare services, it is vital to understand that there are significant differences between ordinary software and AI products.

Healthcare

Paper03 June 2024

Trustworthy AI for healthcare

Integrating AI into healthcare is complex and fraught with challenges. Yet, the pursuit of trustworthy AI is a journey worth undertaking. It promises a future where healthcare is not only powered by i...

Healthcare

Paper10 April 2024

Managing Risk and Quality of AI in Healthcare

Artificial intelligence (AI) provides a unique opportunity to help meet the demands of the future healthcare system. However, hospitals may not be well equipped to handle safe and effective developmen...

Healthcare

Paper05 January 2024

The AI-Mind clinical study protocol

Intelligent digital tools for screening of brain connectivity and dementia risk estimation in people affected by mild cognitive impairment

Healthcare

Whitepaper17 January 2023

How do I turn this on? What to consider when adopting AI-based tools into clinical practice

Artificial intelligence (AI) has great potential to transform healthcare, making it more efficient, equitable, and safe. There are hundreds of AI-based tools available on the market today, yet few get...

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Healthcare

Paper10 November 2022

A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective

User trust in Artificial Intelligence (AI) enabled systems has been increasingly recognized and proven as a key element to fostering the adoption and use of AI.

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Healthcare

Whitepaper12 April 2022

Federated Health Data Networks

Federated health data networks (FHDNs) have emerged as an attractive solution to ‘freeing’ health data.

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Healthcare

Paper30 September 2021

Federated Networks for Distributed Analysis of Health Data

Health Data has great potential for improving diagnostic accuracy and treatment outcomes of both common and rare diseases, yet access or sharing of this data outside the host institution is often very...

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Healthcare

Position paper13 August 2021

Implementing NGS-based diagnostic in cancer care

With the advent of NGS technologies, targeted immunotherapies, and biomarker-based interventions, clinical oncology is one of the areas of medicine with the highest potential impact for precision medi...

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Healthcare

Position paper21 May 2021

Reflections on the clinical implementation of precision medicine

This report summarizes the footprint and knowledge developed during the BigMed project

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