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数据泄露后医院的生产力:双重差分分析。

Hospital Productivity After Data Breaches: Difference-in-Differences Analysis.

机构信息

Department of Economics, Sungkyunkwan University, Seoul, Republic of Korea.

Samsung Advanced Institute for Health Sciences & Technology, Sungkyunkwan University, Seoul, United States.

出版信息

J Med Internet Res. 2021 Jul 6;23(7):e26157. doi: 10.2196/26157.

Abstract

BACKGROUND

Data breaches are an inevitable risk to hospitals operating with information technology. The financial costs associated with data breaches are also growing. The costs associated with a data breach may divert resources away from patient care, thus negatively affecting hospital productivity.

OBJECTIVE

After a data breach, the resulting regulatory enforcement and remediation are a shock to a hospital's patient care delivery. Exploiting this shock, this study aimed to investigate the association between hospital data breaches and productivity by using a generalized difference-in-differences model with multiple prebreach and postbreach periods.

METHODS

The study analyzed the hospital financial data of the California Office of Statewide Health Planning and Development from 2012 to 2016. The study sample was an unbalanced panel of hospitals with 2610 unique hospital-year observations, including general acute care hospitals. California hospital data were merged with breach data published by the US Department of Health and Human Services. The dependent variable was hospital productivity measured as value added. The difference-in-differences model was estimated using fixed effects regression.

RESULTS

Hospital productivity did not significantly differ from the baseline for 3 years after a breach. Data breaches were not significantly associated with a reduction in hospital productivity. Before a breach, the productivity of hospitals that experienced a data breach maintained a parallel trend with control hospitals.

CONCLUSIONS

Hospital productivity was resilient against the shocks from a data breach. Nonetheless, data breaches continue to threaten hospitals; therefore, health care workers should be trained in cybersecurity to mitigate disruptions.

摘要

背景

信息技术的使用使医院面临数据泄露这一不可避免的风险,数据泄露带来的财务成本也在不断增加。数据泄露带来的成本可能会从患者护理中转移资源,从而对医院的生产力产生负面影响。

目的

数据泄露后,随之而来的监管执法和补救措施会对医院的患者护理服务造成冲击。本研究利用广义双重差分模型和多个预泄露及后泄露时期,旨在探索医院数据泄露与生产力之间的关联。

方法

该研究分析了 2012 年至 2016 年加利福尼亚州卫生规划与发展办公室的医院财务数据。研究样本是一个不平衡的医院面板,共有 2610 个独特的医院-年份观察值,包括综合急性护理医院。加利福尼亚州的医院数据与美国卫生与公众服务部公布的违规数据进行了合并。因变量是用增值衡量的医院生产力。使用固定效应回归对双重差分模型进行了估计。

结果

数据泄露发生后的 3 年内,医院生产力并未明显偏离基线。数据泄露与医院生产力的降低没有显著关联。在数据泄露之前,经历过数据泄露的医院的生产力与对照组医院保持平行趋势。

结论

医院生产力对数据泄露的冲击具有弹性。尽管如此,数据泄露仍在威胁着医院;因此,应培训医疗保健工作者网络安全知识,以减轻数据泄露的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/90f2/8293158/8b4442cd2e49/jmir_v23i7e26157_fig1.jpg

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