Application and prospect of big data during perioperative period

Bin YI; Hong LI

doi:10.16016/j.2097-0927.202302091

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Application and prospect of big data during perioperative period

Monographic Reports: Governance and artificial intelligence algorithms of big data during perioperative period | 更新时间：2026-01-09

- Application and prospect of big data during perioperative period
- Journal of Army Medical University Vol. 45, Issue 8, Pages: 725-731(2023)
- 作者机构：
  
  1.400038 重庆, 陆军军医大学(第三军医大学)第一附属医院麻醉科
  2.400037 重庆, 陆军军医大学(第三军医大学)第二附属医院麻醉科
- 作者简介：
- 基金信息：
  
  the National Key Research and Development Program(2018YFC0116702);the Research Project of Chongqing Graduate Education Teaching Reform(yjg202039);the General Program of National Natural Science Foundation of China(82171265);the Special Project of "War-Type" Hospital Military Medical Science and Technology Innovation(2023DZK77006)
- DOI：10.16016/j.2097-0927.202302091
  CLC： R614.2; R619+.9; TP183
- Received：11 January 2023，
  
  Revised：2023-02-15，
  
  Published：30 April 2023
- 稿件说明：
移动端阅览
Bin YI, Hong LI. Application and prospect of big data during perioperative period[J]. Journal of Army Medical University, 2023, 45(8): 725-731.
DOI：

Bin YI, Hong LI. Application and prospect of big data during perioperative period[J]. Journal of Army Medical University, 2023, 45(8): 725-731. DOI： 10.16016/j.2097-0927.202302091.

摘要

目前医疗已经进入大数据时代，越来越多医疗大数据集被用于生成算法模型，以指导医疗护理的质量改进。我国每年实施数千万量级手术量，形成的围手术期大数据经过治理挖掘和算法应用后有望显著优化围手术期管理、减少并发症的发生。围手术期大数据是患者围手术期诊疗过程中产生的海量数据集合，结合大数据治理技术和机器学习算法，可应用于术前评估、不良事件预测、麻醉深度评估、自动给药系统、决策支持系统和超声图像处理等，从而显著提升手术患者围手术期安全，并减少医疗费用支出，由此提高人民群众的健康水平和减轻国家卫生经济负担。

Abstract

At present

medical treatment has entered an era of big data

and more and more medical big data sets have been used to generate algorithm models to guide the quality improvement of medical care. Tens of millions of operations are carried out in China every year

and the obtained perioperative big data are expected to significantly optimize perioperative management and reduce complications after governance mining and algorithm application. Perioperative big data are a massive data set generated during the perioperative diagnosis and treatment of patients. Combined with big data governance technology and machine learning algorithm

it can be applied to preoperative assessment

adverse event prediction

depth evaluation of anesthesia

automatic drug delivery system

decision support system and ultrasonic image processing

so as to significantly improve the perioperative safety of surgical patients and reduce medical expenses

and thus improve the health level of the people and reduce the burden of national health economy.

关键词

Keywords

references

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