Shall we call for a doctor? How to build trust toward AI in healthcare: Insights from a Polish cross-sectional preference study

IF 3.6 3区医学 Q1 HEALTH CARE SCIENCES & SERVICES

Health Policy Pub Date : 2025-06-15 DOI:10.1016/j.healthpol.2025.105379

Katarzyna Kolasa , Katarzyna Baliga-Nicholson , Jaroslaw Wasniewski , Nikola Laskowska , Krystyna Milian , Dominika Ciupek

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引用次数: 0

Abstract

Objectives

This research aimed to investigate key success factors for the adoption of AI-driven health technologies, particularly in healthcare ecosystems of low digital literacy, such as Poland.

Methods

Conducted between January and August 2023, the "AIValue4Health" study engaged over 1,000 Polish nationals in a representative survey. The study revealed preferences with 15 general statements about AI and stated preferences, with two hypothetical trade-off experiments comparing traditional healthcare with AI-enhanced solutions.

Results

In addition to the strong support for AI demonstrated through direct questioning, 28% and 76% of participants shifted from their initial preference for standard care to favor AI solutions, given validation studies and positive feedback from doctors, as well as free access to AI tools. This left over 60% and 80% of participants favoring digital solutions in both experiments, respectively.

Conclusions

The results revealed how to ensure successful integration of AI in healthcare, emphasizing, however, the necessity of validation studies and targeted educational initiatives to enhance digital literacy and trust in AI. Most importantly, the findings underscore the essential role of medical professionals as leaders in the adoption of digital health solutions.

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我们请医生好吗？如何在医疗保健领域建立对人工智能的信任：来自波兰横断面偏好研究的见解

本研究旨在调查采用人工智能驱动的卫生技术的关键成功因素，特别是在波兰等数字素养较低的卫生保健生态系统中。方法在2023年1月至8月期间进行的“AIValue4Health”研究对1 000多名波兰国民进行了有代表性的调查。该研究揭示了人们对人工智能的偏好，包括15个关于人工智能的一般性陈述和陈述偏好，以及两个假设的权衡实验，将传统医疗保健与人工智能增强的解决方案进行比较。结果除了通过直接提问表现出对人工智能的强烈支持外，考虑到验证研究和医生的积极反馈，以及免费获得人工智能工具，28%和76%的参与者从最初对标准护理的偏好转变为对人工智能解决方案的偏好。在这两个实验中，分别有超过60%和80%的参与者倾向于数字解决方案。结论研究结果揭示了如何确保人工智能在医疗保健中的成功整合，但强调了验证研究和有针对性的教育举措的必要性，以提高数字素养和对人工智能的信任。最重要的是，调查结果强调了医疗专业人员作为采用数字健康解决方案的领导者的重要作用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Health Policy 医学-卫生保健

CiteScore

6.40

自引率

6.10%

发文量

157

审稿时长

3-8 weeks

期刊介绍： Health Policy is intended to be a vehicle for the exploration and discussion of health policy and health system issues and is aimed in particular at enhancing communication between health policy and system researchers, legislators, decision-makers and professionals concerned with developing, implementing, and analysing health policy, health systems and health care reforms, primarily in high-income countries outside the U.S.A.