女性骨盆健康突破:基于索赔的AI护理项目与常规护理的经济分析和医疗利用
基于美国全国索赔数据库,比较女性骨盆底功能障碍患者使用AI护理项目与常规护理的医疗利用和支出,发现AI护理显著降低费用和手术干预。

基本信息
资源简介
女性骨盆健康突破:基于索赔的AI护理项目与常规护理的经济分析和医疗利用
【数据集背景】
本数据集源站标题为《Breaking barriers in women’s pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care》。配套论文《Breaking barriers in women’s pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care》发表于 Journal of Medical Economics(2026),DOI:10.1080/13696998.2026.2627835。项目资助方:This work was supported by Sword Health Inc. and also developed within the scope of project n° 62—”Responsible AI”, financed by European Funds, namely the Recovery and Resilience Plan—”Componente 5: Agendas Mobilizadoras para a Inovação Empresarial”, included in the NextGenerationEU funding program.。源站首次发布:2026-02-24。
【数据内容】
源站原始描述:To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care program with those receiving usual in-person care for pelvic floor dysfunction (PFD) in routine clinical settings. This retrospective payor-perspective economic evaluation used exact and propensity score-matched cohorts derived from a third-party U.S. nationwide claims database from July 2022 to May 2025. Eligible participants were adult females with a…
【数据结构与技术规格】
文件数 2 个,合计 1.84 MB。ijme_a_2627835_sm1168.pdf:application/pdf,1.10 MB。ijme_a_2627835_sm1165.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,746.75 KB。数据集 DOI:10.6084/m9.figshare.31400261.v1。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Mathematical Sciences not elsewhere classified、Cancer、Mental Health。主题标签:Women’s health、pelvic floor muscle training、AI care、digital health、economic analysis、cost-savings、healthcare utilization、I15、P46。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://tandf.figshare.com/articles/dataset/Breaking_barriers_in_women_s_pelvic_health_claims-based_economic_analysis_and_healthcare_utilization_of_an_AI_care_program_compared_to_usual_care/31400261
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Breaking barriers in women’s pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care. Taylor & Francis. Pereira, Ana P.; Seet, Andrea M.; Domingues, Beatriz; Janela, Dora; Pradhan, Akshat; Areias, Anabela C; et al
【使用注意】
· 源站最后修改于 2026-06-01,引用时请注意版本时效。
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:Breaking barriers in women’s pelvic health: claims-based economic analysis and healthcare utilization of an AI care program compared to usual care
- DOI:10.6084/m9.figshare.31400261.v1
- 发布日期:2026-02-24
- 文件数:2 个
- 文件总体积:1.84 MB
- 源站页面:https://tandf.figshare.com/articles/dataset/Breaking_barriers_in_women_s_pelvic_health_claims-based_economic_analysis_and_healthcare_utilization_of_an_AI_care_program_compared_to_usual_care/31400261
命令行下载
curl -L -o "ijme_a_2627835_sm1168.pdf" "https://ndownloader.figshare.com/files/62122904"
curl -L -o "ijme_a_2627835_sm1165.docx" "https://ndownloader.figshare.com/files/62122907"
文件清单
ijme_a_2627835_sm1168.pdf(1.10 MB)ijme_a_2627835_sm1165.docx(746.75 KB)
文件总体积 1.84 MB(源站 API 实测)。
数据说明
To compare healthcare utilization and spending among women enrolled in an employer-sponsored, artificial intelligence (AI) structured pelvic care program with those receiving usual in-person care for pelvic floor dysfunction (PFD) in routine clinical settings.
This retrospective payor-perspective economic evaluation used exact and propensity score-matched cohorts derived from a third-party U.S. nationwide claims database from July 2022 to May 2025. Eligible participants were adult females with a pelvic-related condition, at least 24 months of continuous health-insurance coverage, and a minimum of one pelvic claim in the prior year. Intervention group (IG) comprised women who participated in the AI pelvic care program (consisting of biofeedback-mediated pelvic floor muscle training asynchronously monitored by a physical therapist specialized in pelvic health). Comparator group (CG) included women who sought a medical or physical therapy evaluation visit for PFD. Self-reported clinical outcomes available for the IG were assessed using latent-basis growth analysis.
The matched cohort included 602 women (301 per group). Relative to CG, IG patients had substantially lower healthcare spending over 12 months, with mean gross per-person pelvic-related savings of $3,082.4 (95% CI $1,270.2 to $4,894.7, pp=.004), with differences also noted in medical office visits and imaging utilization. IG participants demonstrated significant improvements in pelvic floor symptom burden, work productivity, and mental health.
Claims-based analyses cannot exclude unmeasured confounding, misclassification, or selection bias. The one-year follow-up limits assessment of long-term economic impact.
Participation in this AI pelvic care program was associated with markedly lower healthcare utilization and spending compared with usual care, largely linked to fewer surgical interventions. These findings highlight the potential of accessible, guideline-concordant AI pelvic care to lessen healthcare spending associated with PFD and inform payor-oriented care delivery models.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.31400261.v1(source: https://tandf.figshare.com/articles/dataset/Breaking_barriers_in_women_s_pelvic_health_claims-based_economic_analysis_and_healthcare_utilization_of_an_AI_care_program_compared_to_usual_care/31400261)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




