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患者对数据共享和将人工智能应用于医疗保健数据的看法:横断面调查。

Patient Perceptions on Data Sharing and Applying Artificial Intelligence to Health Care Data: Cross-sectional Survey.

机构信息

Institute of Global Health Innovation, Imperial College London, London, United Kingdom.

出版信息

J Med Internet Res. 2021 Aug 26;23(8):e26162. doi: 10.2196/26162.

DOI:10.2196/26162
PMID:34236994
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8430862/
Abstract

BACKGROUND

Considerable research is being conducted as to how artificial intelligence (AI) can be effectively applied to health care. However, for the successful implementation of AI, large amounts of health data are required for training and testing algorithms. As such, there is a need to understand the perspectives and viewpoints of patients regarding the use of their health data in AI research.

OBJECTIVE

We surveyed a large sample of patients for identifying current awareness regarding health data research, and for obtaining their opinions and views on data sharing for AI research purposes, and on the use of AI technology on health care data.

METHODS

A cross-sectional survey with patients was conducted at a large multisite teaching hospital in the United Kingdom. Data were collected on patient and public views about sharing health data for research and the use of AI on health data.

RESULTS

A total of 408 participants completed the survey. The respondents had generally low levels of prior knowledge about AI. Most were comfortable with sharing health data with the National Health Service (NHS) (318/408, 77.9%) or universities (268/408, 65.7%), but far fewer with commercial organizations such as technology companies (108/408, 26.4%). The majority endorsed AI research on health care data (357/408, 87.4%) and health care imaging (353/408, 86.4%) in a university setting, provided that concerns about privacy, reidentification of anonymized health care data, and consent processes were addressed.

CONCLUSIONS

There were significant variations in the patient perceptions, levels of support, and understanding of health data research and AI. Greater public engagement levels and debates are necessary to ensure the acceptability of AI research and its successful integration into clinical practice in future.

摘要

背景

人们正在研究如何有效地将人工智能(AI)应用于医疗保健领域。然而,为了成功实施 AI,需要大量的健康数据来训练和测试算法。因此,有必要了解患者对使用其健康数据进行 AI 研究的看法和观点。

目的

我们对大量患者进行了调查,以了解他们对健康数据研究的认知程度,并获得他们对 AI 研究数据共享以及 AI 技术在医疗保健数据中应用的意见和看法。

方法

在英国的一家大型多地点教学医院进行了一项横断面调查,对患者进行了调查。收集了患者和公众对共享健康数据进行研究以及使用 AI 处理健康数据的看法。

结果

共有 408 名参与者完成了调查。受访者对 AI 的了解程度普遍较低。大多数人愿意与国民保健制度(NHS)(318/408,77.9%)或大学(268/408,65.7%)共享健康数据,但与商业组织(如科技公司)(108/408,26.4%)共享健康数据的意愿要低得多。大多数人支持在大学环境中进行医疗保健数据(357/408,87.4%)和医疗保健成像(353/408,86.4%)的 AI 研究,前提是解决隐私、匿名医疗保健数据重新识别以及同意过程等问题。

结论

患者对健康数据研究和 AI 的看法、支持程度和理解存在显著差异。需要进行更多的公众参与和辩论,以确保 AI 研究的可接受性及其未来在临床实践中的成功整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b5/8430862/1272bf6c584e/jmir_v23i8e26162_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b5/8430862/1272bf6c584e/jmir_v23i8e26162_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d6b5/8430862/1272bf6c584e/jmir_v23i8e26162_fig1.jpg

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