改善应急响应:对医疗保健中的传统与人工智能辅助选系统及其影响进行比较分析
Husain Nadaf1, Mangesh V Jabade2, Khurshid Jamadar3
1Department of Medical Surgical Cardiothoracic Nursing, Symbiosis College of Nursing, Symbiosis International (Deemed University), Pune, Maharashtra, India.
概括
人工智能 (AI) 与传统的分拣相比,大大减少了急诊室 (ED) 治疗时间 (TTT). 这种人工智能辅助的方法可以提高ED的效率,而不会影响重症监护室 (ICU) 的入院率.
科学领域:
- 紧急医疗 紧急医疗
- 医疗信息学 医疗信息学
- 医疗保健中的人工智能
背景情况:
- 紧急服务部门 (ED) 面临着高患者数量和时间敏感的决策所带来的挑战,需要高效的分拣系统.
- 传统的分类方法 (例如,ESI,MTS) 依赖于人类的判断,可能导致变化.
- 人工智能 (AI) 和机器学习 (ML) 提供实时数据分析,以更快,更一致的分拣决策.
研究的目的:
- 为了比较传统的ED分拣系统与人工智能辅助分拣的有效性.
- 评估人工智能辅助选对治疗时间 (TTT) 和患者结果的影响.
- 评估临床医生对人工智能辅助分组的看法.
主要方法:
- 一个单一中心随机对照试验 (RCT) 在一个大量的三级医院进行.
- 105名患者被随机分配到传统分组 (A组) 或人工智能辅助分组 (B组).
- 测量的主要结果是TTT,定义为第一个医疗干预的时间.
主要成果:
- 与传统分拣 (44.12分钟) 相比,人工智能辅助分拣 (31.02分钟) 的平均TTT显著较低 (p < 0.001).
- 在人工智能辅助下,TTT的变化也减少了 (SD 7.75 vs 11.69).
- 多重线性回归显示AI对TTT的调整-13.1分钟的影响,独立于患者的严重程度 (p < 0.001).
结论:
- 人工智能辅助分组通过减少TTT显然提高了ED的效率.
- 在分拣中应用人工智能并没有影响重症监护室 (ICU) 的入院率.
- 临床医生报告了对人工智能分拣的积极看法,理由是提高了准确性和减少了工作量.
相关概念视频
01:29Issues And Trends In Healthcare Delivery System
6.1K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
6.1K
01:30Current Trends in Nursing II
3.3K
Trends in nursing are multifactorial and associated with changes in society, within the nursing profession, and in other professions. Notably, telehealth and remote nursing contribute to successful healthcare delivery for numerous patients and help reduce stress for nurses due to nursing shortages. Nurses can reach patients, monitor their conditions, and interact with them using computers, audio, visual accessories, and telephones—for example, remote patient monitoring systems. Likewise,...
3.3K
01:30Health Information Technology and Healthcare Information System
3.2K
Health Information Technology (HIT)
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
3.2K
01:23Cardiopulmonary Resuscitation III: AED Use
481
Introduction to AEDAn Automated External Defibrillator (AED) is a portable medical device that analyzes the heart's rhythm and, if necessary, delivers an electrical shock to help the heart re-establish an effective rhythm during sudden cardiac arrest (SCA). SCA occurs when the heart suddenly and unexpectedly stops beating, leading to a loss of blood flow to the brain and other vital organs. In such emergencies, time is of the essence, and using an AED, combined with Cardiopulmonary...
481
01:26Methods Of Healthcare Delivery System
3.9K
At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.9K
01:20Comparing the Survival Analysis of Two or More Groups
533
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
533