Decision Support Tool for Selecting Supplemental Energy Technologies for Healthcare Facilities in a Developing Country

J. Askey, Jaclyn Bellefeuille, S. Éskin, Anya Welch
{"title":"Decision Support Tool for Selecting Supplemental Energy Technologies for Healthcare Facilities in a Developing Country","authors":"J. Askey, Jaclyn Bellefeuille, S. Éskin, Anya Welch","doi":"10.1109/SIEDS.2019.8735649","DOIUrl":null,"url":null,"abstract":"Many Nigerian healthcare facilities do not have consistent access to electricity, which is required for many modern-day healthcare services and operations. The energy needs for such healthcare facilities can be supported by supplemental energy technologies to increase the reliability of electric power. These additions can include green or traditional technologies and would be established within any facility's preexisting electricity infrastructure. In this project, we developed a decision support tool that provides a list of candidate healthcare facilities to fund for supplemental energy generation in Nigeria, based on the effectiveness of implementing reliable energy technologies. The selection of energy technologies is unique to the region and type of facility. The combination of location-specific factors provides a recommendation for the most reliable energy technology. The decision support tool is designed to be used by health policy decision makers and Non-Governmental Organizations (NGOs) to prioritize funding efforts that are in the best interest of the population, as well as the environment, in developing countries where infrastructure development projects would provide the greatest impact. The tool recommends the optimal energy generation technology for each region, prioritizes the facilities based on access and coverage parameters, and then takes into account budget and planning constraints. The project aims to encourage developing countries, starting with Nigeria, to reevaluate their energy infrastructure needs in relation to health facilities.","PeriodicalId":265421,"journal":{"name":"2019 Systems and Information Engineering Design Symposium (SIEDS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Systems and Information Engineering Design Symposium (SIEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIEDS.2019.8735649","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Many Nigerian healthcare facilities do not have consistent access to electricity, which is required for many modern-day healthcare services and operations. The energy needs for such healthcare facilities can be supported by supplemental energy technologies to increase the reliability of electric power. These additions can include green or traditional technologies and would be established within any facility's preexisting electricity infrastructure. In this project, we developed a decision support tool that provides a list of candidate healthcare facilities to fund for supplemental energy generation in Nigeria, based on the effectiveness of implementing reliable energy technologies. The selection of energy technologies is unique to the region and type of facility. The combination of location-specific factors provides a recommendation for the most reliable energy technology. The decision support tool is designed to be used by health policy decision makers and Non-Governmental Organizations (NGOs) to prioritize funding efforts that are in the best interest of the population, as well as the environment, in developing countries where infrastructure development projects would provide the greatest impact. The tool recommends the optimal energy generation technology for each region, prioritizes the facilities based on access and coverage parameters, and then takes into account budget and planning constraints. The project aims to encourage developing countries, starting with Nigeria, to reevaluate their energy infrastructure needs in relation to health facilities.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
为发展中国家的卫生保健设施选择补充能源技术的决策支持工具
许多尼日利亚医疗保健机构无法持续获得电力,而电力是许多现代医疗保健服务和业务所必需的。这些医疗设施的能源需求可以通过补充能源技术来支持,以提高电力的可靠性。这些新增设施可以包括绿色或传统技术,并将建立在任何设施现有的电力基础设施中。在这个项目中,我们开发了一个决策支持工具,该工具根据实施可靠能源技术的有效性,提供了一份候选医疗保健设施清单,以资助尼日利亚的补充能源生产。能源技术的选择因地区和设施类型而异。具体地点因素的结合为最可靠的能源技术提供了建议。决策支持工具的目的是供卫生政策决策者和非政府组织使用,以便优先考虑在基础设施发展项目将产生最大影响的发展中国家为符合人口和环境最大利益的努力提供资金。该工具为每个地区推荐最佳的发电技术,根据接入和覆盖参数对设施进行优先排序,然后考虑预算和规划约束。该项目旨在鼓励从尼日利亚开始的发展中国家重新评估其与卫生设施相关的能源基础设施需求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
The Impact of Artificial Intelligence and Internet of Things in the Transformation of E-Business Sector Gamification of eHealth Interventions to Increase User Engagement and Reduce Attrition Modeling User Context from Smartphone Data for Recognition of Health Status Developing a data pipeline to improve accessibility and utilization of Charlottesville's Open Data Portal Deep Learning for Detecting Diseases in Gastrointestinal Biopsy Images
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1