Professional perspectives towards implementing artificial intelligence in next generation sequencing–based newborn screening: A Q methodology study

IF 3.4 3区医学 Q1 HEALTH POLICY & SERVICES

Health Policy and Technology Pub Date : 2025-01-30 DOI:10.1016/j.hlpt.2025.100982

Sara Soriano Longarón , Lennart Johansson , Imke Christiaans , Erwin Birnie , Marielle van Gijn , Adelita V. Ranchor , Mirjam Plantinga

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引用次数: 0

Abstract

Background

The use of next generation sequencing (NGS) to expand current newborn screening (NBS) is being explored. NGS would enable early detection of more early onset diseases. However, to interpret a large amount of data within a short turn-around time, it is necessary to use artificial intelligence (AI). Use of AI in NGS-based NBS raises ethical and societal issues that require investigation of how healthcare professionals view the use of AI in this context and which requirements need to be met to realize responsible development and deployment of AI in NGS-based NBS.

Objective

To explore professionals’ perspectives on the requirements that are important for responsible development and deployment of AI in NGS-based NBS.

Methods

Q methodology was used to examine the perspectives of professionals, involving two steps: 1) an online focus group discussion to provide input for the development of 40 statements regarding requirements for responsible use of AI in NGS-based NBS and 2) an online sorting by the participants (N = 30) of the list of statements, according to their importance.

Results

The Q methodology approach identified two participant perspectives. The first emphasized the importance for professionals that they retain control over the task for which the AI is used. The second prioritized the importance of parental acceptance and of high uptake of the screening offer.

Conclusions

The findings indicate an overall optimistic attitude and suggest that for responsible development and implementation of AI in an NGS-based NBS, it is important to consider requirements covering ethical, legal and societal aspects.

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来源期刊

Health Policy and Technology Medicine-Health Policy

CiteScore

9.20

自引率

3.30%

发文量

审稿时长

88 days

期刊介绍： Health Policy and Technology (HPT), is the official journal of the Fellowship of Postgraduate Medicine (FPM), a cross-disciplinary journal, which focuses on past, present and future health policy and the role of technology in clinical and non-clinical national and international health environments. HPT provides a further excellent way for the FPM to continue to make important national and international contributions to development of policy and practice within medicine and related disciplines. The aim of HPT is to publish relevant, timely and accessible articles and commentaries to support policy-makers, health professionals, health technology providers, patient groups and academia interested in health policy and technology. Topics covered by HPT will include: - Health technology, including drug discovery, diagnostics, medicines, devices, therapeutic delivery and eHealth systems - Cross-national comparisons on health policy using evidence-based approaches - National studies on health policy to determine the outcomes of technology-driven initiatives - Cross-border eHealth including health tourism - The digital divide in mobility, access and affordability of healthcare - Health technology assessment (HTA) methods and tools for evaluating the effectiveness of clinical and non-clinical health technologies - Health and eHealth indicators and benchmarks (measure/metrics) for understanding the adoption and diffusion of health technologies - Health and eHealth models and frameworks to support policy-makers and other stakeholders in decision-making - Stakeholder engagement with health technologies (clinical and patient/citizen buy-in) - Regulation and health economics