在学术医疗机构推广电子病例报告的经济评估。

IF 2.5 Q2 HEALTH CARE SCIENCES & SERVICES JAMIA Open Pub Date : 2024-01-12 eCollection Date: 2024-04-01 DOI:10.1093/jamiaopen/ooad102
Joel Hartsell, Fernando A Wilson, Kimberley Shoaf, Angela Dunn, Matthew H Samore, Catherine Janes Staes
{"title":"在学术医疗机构推广电子病例报告的经济评估。","authors":"Joel Hartsell, Fernando A Wilson, Kimberley Shoaf, Angela Dunn, Matthew H Samore, Catherine Janes Staes","doi":"10.1093/jamiaopen/ooad102","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center.</p><p><strong>Materials and methods: </strong>The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions.</p><p><strong>Results: </strong>The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR.</p><p><strong>Discussion and conclusion: </strong>Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.</p>","PeriodicalId":36278,"journal":{"name":"JAMIA Open","volume":"7 1","pages":"ooad102"},"PeriodicalIF":2.5000,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10784733/pdf/","citationCount":"0","resultStr":"{\"title\":\"An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting.\",\"authors\":\"Joel Hartsell, Fernando A Wilson, Kimberley Shoaf, Angela Dunn, Matthew H Samore, Catherine Janes Staes\",\"doi\":\"10.1093/jamiaopen/ooad102\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center.</p><p><strong>Materials and methods: </strong>The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions.</p><p><strong>Results: </strong>The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR.</p><p><strong>Discussion and conclusion: </strong>Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.</p>\",\"PeriodicalId\":36278,\"journal\":{\"name\":\"JAMIA Open\",\"volume\":\"7 1\",\"pages\":\"ooad102\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2024-01-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10784733/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JAMIA Open\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/jamiaopen/ooad102\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/4/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q2\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JAMIA Open","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/jamiaopen/ooad102","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/4/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
引用次数: 0

摘要

目标:确定一家学术医疗中心在最初实施 COVID-19 电子病例报告 (eCR) 后,扩大 29 种可报告病症的电子病例报告的经济成本或效益:在一家学术医疗中心对 COVID-19 初步实施电子病例报告 (eCR) 后,确定对 29 种应报告病症扩大电子病例报告 (eCR) 的经济成本或效益:采用投资回报率(ROI)框架,从一个学术医疗系统的角度量化了在 5 年时间跨度内扩展电子病例报告的经济影响。对人员成本、通货膨胀和扩展病症数量等关键因素进行了敏感性分析:结果:实施年度的总实施成本估计为 5031.46 美元。针对 29 种情况扩展 eCR 的 5 年投资回报率预计为 142%(节省费用的净现值:7166 美元)。根据每年的投资回报率估算,扩展 eCR 所节省的资金将在大约 4.8 年内收回实施成本。所有的敏感性分析都表明,扩大 eCR 的投资回报率很高:我们的研究结果表明,在 UHealth 推广 eCR 具有很高的投资回报率,对所有应报告病症实施 eCR 所节省的成本最为显著。建议尽早努力确保数据质量,加快从并行报告向生产报告的过渡,以提高医疗机构的投资回报率。本研究表明,在诸如 UHealth 这样的学术医疗机构中,将 eCR 扩展到 COVID-19 以外的其他应报告病症具有积极的投资回报率。虽然这项评估的重点是 5 年的时间范围,但其潜在效益可能会进一步扩大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
An economic evaluation of the expansion of electronic case reporting in an academic healthcare setting.

Objectives: Determine the economic cost or benefit of expanding electronic case reporting (eCR) for 29 reportable conditions beyond the initial eCR implementation for COVID-19 at an academic health center.

Materials and methods: The return on investment (ROI) framework was used to quantify the economic impact of the expansion of eCR from the perspective of an academic health system over a 5-year time horizon. Sensitivity analyses were performed to assess key factors such as personnel cost, inflation, and number of expanded conditions.

Results: The total implementation costs for the implementation year were estimated to be $5031.46. The 5-year ROI for the expansion of eCR for the 29 conditions is expected to be 142% (net present value of savings: $7166). Based on the annual ROI, estimates suggest that the savings from the expansion of eCR will cover implementation costs in approximately 4.8 years. All sensitivity analyses yielded a strong ROI for the expansion of eCR.

Discussion and conclusion: Our findings suggest a strong ROI for the expansion of eCR at UHealth, with the most significant cost savings observed implementing eCR for all reportable conditions. An early effort to ensure data quality is recommended to expedite the transition from parallel reporting to production to improve the ROI for healthcare organizations. This study demonstrates a positive ROI for the expansion of eCR to additional reportable conditions beyond COVID-19 in an academic health setting, such as UHealth. While this evaluation focuses on the 5-year time horizon, the potential benefit could extend further.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
JAMIA Open
JAMIA Open Medicine-Health Informatics
CiteScore
4.10
自引率
4.80%
发文量
102
审稿时长
16 weeks
期刊最新文献
Aligning prediction models with clinical information needs: infant sepsis case study. Semantic enrichment of Pomeranian health study data using LOINC and WHO-FIC terminology mapping principles. Exploring beyond diagnoses in electronic health records to improve discovery: a review of the phenome-wide association study. Toward digital caregiving network interventions for children with medical complexity living in socioeconomically disadvantaged neighborhoods. Transforming appeal decisions: machine learning triage for hospital admission denials.
×
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