Identifying Ethical Considerations for Machine Learning Healthcare Applications.
Identifying Ethical Considerations for Machine Learning Healthcare Applications.
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DOI：
10.1080/15265161.2020.1819469
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发表时间：
2020-11
期刊：
影响因子：
--
通讯作者：
Feudtner C
中科院分区：
文献类型：
--
作者：
Char DS;Abràmoff MD;Feudtner C
沿着医疗保健服务的潜在好处，机器学习医疗保健应用（ML-HCA）引起了许多伦理问题。ML-HCA的伦理评估需要构建评估这些技术的总体问题，特别是对于不同的利益相关者群体。本文概述了一个系统的方法来确定ML-HCA的道德问题，从一个概念模型的概念，开发，实施ML-HCA的管道，并在每个阶段的评估和监督任务的并行管道。在这个模型中，我们层的关键问题，提出了基于价值的问题，沿着在很大程度上通过文献综述确定的伦理考虑，但也确定了一些尚未得到重视的伦理考虑。这一管道模型框架将有助于对ML-HCA从开发到实施的系统伦理评估，以及不同利益相关者的跨学科合作，这些利益相关者将需要了解并随后管理ML-HCA的伦理影响。
Along with potential benefits to healthcare delivery, machine learning healthcare applications (ML-HCAs) raise a number of ethical concerns. Ethical evaluations of ML-HCAs will need to structure the overall problem of evaluating these technologies, especially for a diverse group of stakeholders. This paper outlines a systematic approach to identifying ML-HCA ethical concerns, starting with a conceptual model of the pipeline of the conception, development, implementation of ML-HCAs, and the parallel pipeline of evaluation and oversight tasks at each stage. Over this model, we layer key questions that raise value-based issues, along with ethical considerations identified in large part by a literature review, but also identifying some ethical considerations that have yet to receive attention. This pipeline model framework will be useful for systematic ethical appraisals of ML-HCA from development through implementation, and for interdisciplinary collaboration of diverse stakeholders that will be required to understand and subsequently manage the ethical implications of ML-HCAs.
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影响因子：
2.7
作者：
Fischer, T.;Brothers, K. B.;Langanke, M.
通讯作者：
Langanke, M.
影响因子：
158.5
作者：
Fenton, Joshua J.;Taplin, Stephen H.;Elmore, Joann G.
通讯作者：
Elmore, Joann G.
影响因子：
7.4
作者：
Fiske, Amelia;Henningsen, Peter;Buyx, Alena
通讯作者：
Buyx, Alena
影响因子：
8
作者：
Feudtner, Chris;Schall, Theodore;Berry, Jay
通讯作者：
Berry, Jay
DOI：
10.1126/science.aaw4399
发表时间：
2019-03-22
期刊：
Science (New York, N.Y.)
影响因子：
--
作者：
Finlayson SG;Bowers JD;Ito J;Zittrain JL;Beam AL;Kohane IS
通讯作者：
Kohane IS