跳到正文
← 返回论文列表与筛选
阅读说明

本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。

DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。

本页为预印本版本;arXiv 收录、作者填写的期刊信息以及作者既有发表经历,都不单独证明本篇已接收。作者发表记录按 OpenAlex 身份与完整姓名、本站覆盖期刊 ISSN 及正式卷期核对,只展示已核实例,档案仍可能误合并。

引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。

关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。

分类依据与纠错

AI 根据所提供的论文材料归类:摘要明确估计医院生产函数、随机生产前沿及无效率方程,直接涉及生产技术与效率的模型估计。

反馈分类问题

正在核对关联版本…

代码、数据与补充材料

正在核对对应版本的资源…

关注这篇论文的作者
Ari Ercole

英国 NHS 急性医院的数字成熟度与技术效率:英格兰横截面证据

研究问题
英格兰急性医院的数字成熟度是否与技术效率相关?研究使用单年度医院横截面资料,考察整体数字水平及不同数字能力领域。
方法与思路
作者对一百一十一家医院拟合贝叶斯随机前沿模型,使用四投入的柯布—道格拉斯生产函数,并在无效率方程中加入数字成熟度与控制变量。
材料陈述的贡献
摘要报告数字成熟度与无效率负相关,但可信区间略跨零;不同成熟度组存在估计效率差距,且结果对最保守先验较敏感。
阅读关注点
应核对产出和资本的构造、前沿误差与无效率的区分、先验敏感性,以及数字投资内生性和效率差距折算为活动价值的依据。
阅读边界
这是 arXiv 预印本,不能据此确认同行评审或期刊接收;横截面关联不足以证明数字投资的因果收益,摘要亦强调识别困难。

原文摘要

Whether investment in digital health technology is associated with differences in hospital productivity is a question of substantial policy relevance, yet interpretation is constrained by challenges in causal identification and prior evidence is mixed. Technical efficiency in NHS acute hospital trusts in England is estimated using Bayesian stochastic frontier analysis. A four-input Cobb--Douglas production function incorporating clinical full-time equivalents, administrative full-time equivalents, non-labour expenditure, and physical capital derived from audited NHS accounts is fitted to 111 acute non-specialist trusts in 2024/25. Digital maturity, measured by the NHS Digital Maturity Assessment, is included in a trust-specific inefficiency equation alongside population deprivation, teaching status, and financial position controls. The composite digital maturity score is estimated to be negatively associated with technical inefficiency (\(\hatγ = -0.612\), 95\% credible interval \([-1.289, +0.005]\), \(P(γ< 0) = 0.974\)). Trusts in the highest digital maturity quartile are estimated to operate at 98.0\% of their production frontier compared with 93.2\% for the lowest quartile. This gap corresponds to approximately £20 million of additional cost-weighted activity per trust at mean output levels, or £1.1 billion in aggregate. Estimates are robust to functional form but are sensitive to the most conservative prior specification. Pillar-level analysis suggests that population health management and care pathway optimisation domains exhibit stronger associations with efficiency than other domains. Catchment deprivation is not estimated to have an independent association with efficiency after controlling for digital maturity.

笔记与分组