Suppr超能文献

众包在健康领域的应用:综述。

Applications of crowdsourcing in health: an overview.

作者信息

Wazny Kerri

机构信息

Centre for Global Health Research, Usher Institute of Informatics and Population Sciences, University of Edinburgh, Edinburgh, UK.

出版信息

J Glob Health. 2018 Jun;8(1):010502. doi: 10.7189/jogh.08.010502.

Abstract

BACKGROUND

Crowdsourcing is a nascent phenomenon that has grown exponentially since it was coined in 2006. It involves a large group of people solving a problem or completing a task for an individual or, more commonly, for an organisation. While the field of crowdsourcing has developed more quickly in information technology, it has great promise in health applications. This review examines uses of crowdsourcing in global health and health, broadly.

METHODS

Semantic searches were run in Google Scholar for "crowdsourcing," "crowdsourcing and health," and similar terms. 996 articles were retrieved and all abstracts were scanned. 285 articles related to health. This review provides a narrative overview of the articles identified.

RESULTS

Eight areas where crowdsourcing has been used in health were identified: diagnosis; surveillance; nutrition; public health and environment; education; genetics; psychology; and, general medicine/other. Many studies reported crowdsourcing being used in a diagnostic or surveillance capacity. Crowdsourcing has been widely used across medical disciplines; however, it is important for future work using crowdsourcing to consider the appropriateness of the crowd being used to ensure the crowd is capable and has the adequate knowledge for the task at hand. Gamification of tasks seems to improve accuracy; other innovative methods of analysis including introducing thresholds and measures of trustworthiness should be considered.

CONCLUSION

Crowdsourcing is a new field that has been widely used and is innovative and adaptable. With the exception of surveillance applications that are used in emergency and disaster situations, most uses of crowdsourcing have only been used as pilots. These exceptions demonstrate that it is possible to take crowdsourcing applications to scale. Crowdsourcing has the potential to provide more accessible health care to more communities and individuals rapidly and to lower costs of care.

摘要

背景

众包是一种新兴现象,自2006年被提出以来呈指数级增长。它涉及一大群人为个人或更常见的是为组织解决问题或完成任务。虽然众包领域在信息技术方面发展得更快,但在健康应用方面也有很大前景。本综述广泛研究了众包在全球健康和卫生领域的应用。

方法

在谷歌学术中对“众包”“众包与健康”及类似术语进行语义搜索。检索到996篇文章并扫描了所有摘要。其中285篇与健康相关。本综述对所确定的文章进行了叙述性概述。

结果

确定了众包在健康领域的八个应用领域:诊断;监测;营养;公共卫生与环境;教育;遗传学;心理学;以及普通医学/其他。许多研究报告了众包在诊断或监测方面的应用。众包已在多个医学学科中广泛使用;然而,对于未来使用众包的工作而言,重要的是要考虑所使用人群的适宜性,以确保该人群有能力且具备完成手头任务所需的足够知识。任务的游戏化似乎能提高准确性;应考虑其他创新分析方法,包括引入阈值和可信度衡量标准。

结论

众包是一个已被广泛使用且具有创新性和适应性的新领域。除了在紧急和灾难情况下使用的监测应用外,众包的大多数应用仅作为试点。这些例外情况表明众包应用有可能扩大规模。众包有潜力为更多社区和个人迅速提供更易获得的医疗保健,并降低医疗成本。

相似文献

1
Applications of crowdsourcing in health: an overview.
J Glob Health. 2018 Jun;8(1):010502. doi: 10.7189/jogh.08.010502.
2
"Crowdsourcing" ten years in: A review.
J Glob Health. 2017 Dec;7(2):020602. doi: 10.7189/jogh.07.020602.
3
The future of Cochrane Neonatal.
Early Hum Dev. 2020 Nov;150:105191. doi: 10.1016/j.earlhumdev.2020.105191. Epub 2020 Sep 12.
5
Mapping of Crowdsourcing in Health: Systematic Review.
J Med Internet Res. 2018 May 15;20(5):e187. doi: 10.2196/jmir.9330.
6
Crowdsourcing--harnessing the masses to advance health and medicine, a systematic review.
J Gen Intern Med. 2014 Jan;29(1):187-203. doi: 10.1007/s11606-013-2536-8. Epub 2013 Jul 11.
7
Crowdsourcing citation-screening in a mixed-studies systematic review: a feasibility study.
BMC Med Res Methodol. 2021 Apr 26;21(1):88. doi: 10.1186/s12874-021-01271-4.
8
An evaluation of Cochrane Crowd found that crowdsourcing produced accurate results in identifying randomized trials.
J Clin Epidemiol. 2021 May;133:130-139. doi: 10.1016/j.jclinepi.2021.01.006. Epub 2021 Jan 18.

引用本文的文献

2
PrEP your step: Implementing an online crowdsourcing contest to engage young people in HIV prevention in Washington DC, USA.
PLoS One. 2024 Nov 18;19(11):e0313882. doi: 10.1371/journal.pone.0313882. eCollection 2024.
4
Crowdsourcing with the drift diffusion model of decision making.
Sci Rep. 2024 May 17;14(1):11311. doi: 10.1038/s41598-024-61687-y.
5
Decision-making for congenital anomalies diagnosed during pregnancy: a narrative review.
J Assist Reprod Genet. 2024 May;41(5):1143-1151. doi: 10.1007/s10815-024-03112-x. Epub 2024 Apr 17.
6
7
Feasibility assessment of crowdsourcing slogans for promoting household waste segregation in India: a cross-sectional study.
Front Public Health. 2023 Oct 11;11:1118331. doi: 10.3389/fpubh.2023.1118331. eCollection 2023.
8
Digital Crowdsourcing and Infectious Diseases: Opportunities and Obstacles.
J Infect Dis. 2023 Nov 28;228(11):1479-1481. doi: 10.1093/infdis/jiad444.
9
Research on the doctors' win in crowdsourcing competitions: perspectives on service content and competitive environment.
BMC Med Inform Decis Mak. 2023 Oct 5;23(1):204. doi: 10.1186/s12911-023-02309-x.

本文引用的文献

1
"Crowdsourcing" ten years in: A review.
J Glob Health. 2017 Dec;7(2):020602. doi: 10.7189/jogh.07.020602.
2
Crowdsourcing healthcare costs: Opportunities and challenges for patient centered price transparency.
Healthc (Amst). 2016 Mar;4(1):3-5. doi: 10.1016/j.hjdsi.2015.06.004. Epub 2015 Jul 2.
3
Crowdsourcing the General Public for Large Scale Molecular Pathology Studies in Cancer.
EBioMedicine. 2015 May 9;2(7):681-9. doi: 10.1016/j.ebiom.2015.05.009. eCollection 2015 Jul.
4
Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection.
Nat Methods. 2015 Jul;12(7):623-30. doi: 10.1038/nmeth.3407. Epub 2015 May 18.
5
Crowdsourcing in biomedicine: challenges and opportunities.
Brief Bioinform. 2016 Jan;17(1):23-32. doi: 10.1093/bib/bbv021. Epub 2015 Apr 17.
6
Ranking adverse drug reactions with crowdsourcing.
J Med Internet Res. 2015 Mar 23;17(3):e80. doi: 10.2196/jmir.3962.
7
Scaling drug indication curation through crowdsourcing.
Database (Oxford). 2015 Mar 22;2015. doi: 10.1093/database/bav016. Print 2015.
8
Crowdsourcing as a screening tool to detect clinical features of glaucomatous optic neuropathy from digital photography.
PLoS One. 2015 Feb 18;10(2):e0117401. doi: 10.1371/journal.pone.0117401. eCollection 2015.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验