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脑群集、区块链和生物伦理学:将创新增强技术应用于医疗保健和研究。

BrainSwarming, blockchain, and bioethics: applying Innovation Enhancing Techniques to healthcare and research.

机构信息

Medical Sciences Division, University of Oxford, Oxford, UK.

Head, Computer Science Department, Eagle Hill School, Hardwick, MA, USA.

出版信息

Sci Rep. 2024 Jan 10;14(1):832. doi: 10.1038/s41598-023-50232-y.

Abstract

Innovation in healthcare and biomedicine is in decline, yet there exist no widely-known alternatives to traditional brainstorming that can be employed for innovative idea generation. McCaffrey's Innovation Enhancing Techniques (IETs) were developed to enhance creative problem-solving by helping the solver to overcome common psychological obstacles to generating innovative ideas. These techniques were devised for engineering and design problems, which involve solving practical goals using physical materials. Healthcare and science problems however often involve solving abstract goals using intangible resources. Here we adapt two of McCaffrey's IETs, BrainSwarming and the Generic Parts Technique, to effectively enhance idea generation for such problems. To demonstrate their potential, we apply these techniques to a case study involving the use of blockchain technologies to facilitate ethical goals in biomedicine, and successfully identify 100 potential solutions to this problem. Being simple to understand and easy to implement, these and other IETs have significant potential to improve innovation and idea generation in healthcare, scientific, and technological contexts. By catalysing idea generation in problem-solving, these techniques may be used to target the innovative stagnation currently facing the scientific world.

摘要

医疗保健和生物医学领域的创新正在衰退,但目前还没有广为人知的替代传统头脑风暴的方法,可用于创新理念的产生。麦卡弗里的创新增强技术(IETs)旨在通过帮助解决者克服产生创新理念的常见心理障碍来增强创造性问题解决能力。这些技术是为工程和设计问题设计的,涉及使用物理材料来解决实际目标。然而,医疗保健和科学问题通常涉及使用无形资源来解决抽象目标。在这里,我们将麦卡弗里的两项 IETs(BrainSwarming 和通用部件技术)进行了改编,以有效地增强此类问题的创意生成。为了展示它们的潜力,我们将这些技术应用于一个案例研究,该研究涉及使用区块链技术来促进生物医学中的伦理目标,并成功确定了该问题的 100 种潜在解决方案。这些技术简单易懂,易于实施,它们在医疗保健、科学和技术领域具有显著提高创新和创意生成的潜力。通过在解决问题时促进创意生成,这些技术可用于解决当前科学界面临的创新停滞问题。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e7ee/10781689/5d48a35d81f5/41598_2023_50232_Fig1_HTML.jpg

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