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采血服务流程再造对医疗服务供给的影响:准实验研究。

Influence of Blood Sampling Service Process Reengineering on Medical Services Supply: Quasi-Experimental Study.

机构信息

State Key Laboratory of Oncology, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, Guangzhou, China.

出版信息

J Med Internet Res. 2024 Nov 12;26:e51412. doi: 10.2196/51412.

DOI:10.2196/51412
PMID:39531265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11599894/
Abstract

BACKGROUND

Tertiary hospitals in China are confronted with significant challenges due to limited spatial capacity and workforce constraints, leading to saturated allocation of medical resources and restricted growth in medical service provision. The incorporation of digital health into medical service process reengineering (MSPR) marks a pivotal transformation and restructuring of conventional health service delivery models. Specifically, the application of MSPR to blood sampling services processes reengineering (BSSPR) holds promise for substantially enhancing the efficiency and quality of medical services through streamlining and optimizing these procedures. However, the comprehensive impact of BSSPR has been infrequently quantified in existing research.

OBJECTIVE

This study aims to investigate the influence of BSSPR on the efficiency and quality of medical services and to elucidate the key informative technological support points underpinning BSSPR.

METHODS

Data were collected from both the new and old laboratory information systems from August 1, 2019, to December 31, 2021. A combination of statistical description, chi-square test, and t test was used to compare check-in time and waiting time of outpatients before and after the implementation of BSSPR. An interrupted time-series design was used to analyze the impact of BSSPR on medical service efficiency and quality, enabling the control of confounding variables, including changes in medical human resources and both long- and short-term temporal trends.

RESULTS

BSSPR had an impact on the efficiency and quality of medical services. Notably, there was a significant increase in the number of patients receiving blood sampling services, with a daily service volume increase of ~150 individuals (P=.04). The average waiting time for patients decreased substantially from 29 (SD 36) to 11 (SD 11) minutes, indicating a marked improvement in patient experience. During the peak period, the number of patients receiving blood sampling services per working hour statistically increased from 9.56 to 16.77 (P<.001). The interrupted time-series model results demonstrated a reduction in patients' waiting time by an average of 26.1 (SD 3.8; 95% CI -33.64 to -18.57) minutes. Although there was an initial decline in the number of outpatients admitted following BSSPR implementation, an upward trend was observed over time (β=1.13, 95% CI 0.91-1.36).

CONCLUSIONS

BSSPR implementation for outpatients not only reduced waiting time and improved patients' experience but also augmented the hospital's capacity to provide medical services. This study's findings offer valuable insights into the potential advantages of BSSPR and underscore the significance of harnessing digital technologies to optimize medical service processes. This research serves as a foundational basis and provides scientific support for the promotion and application of BSSPR in other health care contexts. By continuing to explore and refine the integration of digital technologies in health care, we can further enhance patient outcomes and elevate the overall quality of medical services.

摘要

背景

中国的三甲医院面临着空间容量和劳动力限制的重大挑战,导致医疗资源配置饱和,医疗服务提供受限。将数字健康纳入医疗服务流程再造(MSPR)标志着传统医疗服务提供模式的重大转型和重构。具体来说,将 MSPR 应用于血液采样服务流程再造(BSSPR)有望通过简化和优化这些流程,显著提高医疗服务的效率和质量。然而,BSSPR 的综合影响在现有研究中很少被量化。

目的

本研究旨在探讨 BSSPR 对医疗服务效率和质量的影响,并阐明支持 BSSPR 的关键信息科技支撑点。

方法

数据来自 2019 年 8 月 1 日至 2021 年 12 月 31 日期间新的和旧的实验室信息系统。采用统计描述、卡方检验和 t 检验相结合的方法,比较 BSSPR 实施前后门诊患者的登记时间和等待时间。采用中断时间序列设计分析 BSSPR 对医疗服务效率和质量的影响,从而控制混杂变量,包括医疗人力资源的变化以及长期和短期的时间趋势。

结果

BSSPR 对医疗服务的效率和质量产生了影响。值得注意的是,接受血液采样服务的患者数量显著增加,每日服务量增加了约 150 人(P=.04)。患者的平均等待时间从 29 分钟(SD 36)显著减少至 11 分钟(SD 11),表明患者体验得到了显著改善。在高峰期,每小时接受血液采样服务的患者数量从 9.56 人增加到 16.77 人(P<.001)。中断时间序列模型结果表明,患者的等待时间平均减少了 26.1 分钟(SD 3.8;95%CI-33.64 至-18.57)。虽然 BSSPR 实施后门诊患者入院人数最初有所下降,但随着时间的推移呈上升趋势(β=1.13,95%CI 0.91-1.36)。

结论

BSSPR 不仅减少了等待时间,改善了患者体验,还增加了医院提供医疗服务的能力。本研究结果为 BSSPR 的潜在优势提供了有价值的见解,并强调了利用数字技术优化医疗服务流程的重要性。本研究为在其他医疗保健环境中推广和应用 BSSPR 提供了基础和科学支持。通过继续探索和完善医疗保健中数字技术的整合,我们可以进一步提高患者的治疗效果,提升整体医疗服务质量。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/f3a7752d13ac/jmir_v26i1e51412_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/db2f5a6b649d/jmir_v26i1e51412_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/417ff9748903/jmir_v26i1e51412_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/f3a7752d13ac/jmir_v26i1e51412_fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/db2f5a6b649d/jmir_v26i1e51412_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/417ff9748903/jmir_v26i1e51412_fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a5c2/11599894/f3a7752d13ac/jmir_v26i1e51412_fig3.jpg

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