Journal article
BrainSwarming, blockchain, and bioethics: applying innovation enhancing techniques to healthcare and research
- 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.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 1.6MB, Terms of use)
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- Publisher copy:
- 10.1038/s41598-023-50232-y
Authors
+ Wellcome Trust
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- Funder identifier:
- https://ror.org/029chgv08
- Grant:
- WT203132/Z/16/Z
- Publisher:
- Nature Research
- Journal:
- Scientific Reports More from this journal
- Volume:
- 14
- Issue:
- 1
- Pages:
- 832-832
- Article number:
- 832
- Publication date:
- 2024-01-10
- Acceptance date:
- 2023-12-17
- DOI:
- EISSN:
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2045-2322
- ISSN:
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2045-2322
- Pmid:
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38200069
- Language:
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English
- Keywords:
- Pubs id:
-
1602887
- UUID:
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uuid_283e89d4-2cea-4b02-bd00-8325565eb74d
- Local pid:
-
pubs:1602887
- Deposit date:
-
2024-02-06
- ARK identifier:
Terms of use
- Copyright holder:
- Vazirani et al.
- Copyright date:
- 2024
- Rights statement:
- Copyright © 2024, The Author(s). This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
- Licence:
- CC Attribution (CC BY)
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