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相关概念视频

Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

6.3K
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...
6.3K
Current Trends in Nursing II01:30

Current Trends in Nursing II

3.6K
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,...
3.6K
Current Trends in Nursing I01:28

Current Trends in Nursing I

5.5K
Current trends in nursing include:
5.5K
Introduction To Health Care Delivery System01:18

Introduction To Health Care Delivery System

4.3K
The healthcare system is constantly changing and complex. Various services are available from different healthcare providers, but gaining access to these services has become challenging for people with limited healthcare insurance. Uninsured people present a challenge to healthcare because they frequently postpone or forego treatment.
The Institute of Medicine (IOM) advocates for a patient-centered, effective, safe, timely, equitable, and effective healthcare system. The National Priorities...
4.3K
Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

979
The case management model is a multidisciplinary approach that involves healthcare professionals from diverse disciplines, such as physicians, nurses, therapists, social workers, and pharmacists, working collaboratively to address the various needs of patients. Each healthcare professional brings unique expertise and perspectives, contributing to a more comprehensive understanding of the patient's condition and tailoring treatment plans accordingly.
For example, a patient with a chronic...
979
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

4.2K
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...
4.2K

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相关实验视频

Updated: Feb 25, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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解释AI创新在医疗保健中的缓慢采用:网络分析方法

Petra Apell1, Sara Locher1, Annie Milde1

  • 1Department of Technology Management and Economics, Chalmers University of Technology, Göteborg, Sweden.

JMIR AI
|February 23, 2026
PubMed
概括

在医疗保健中采用人工智能 (AI) 需要解决知识开发和资源调动方面的挑战. 有针对性的战略和支持机制可以加速人工智能创新采用和临床验证.

科学领域:

  • 医疗保健创新 医疗保健创新
  • 医疗技术采用 医疗技术采用
  • 医学中的人工智能

背景情况:

  • 人工智能 (AI) 对医疗保健具有重大前景,但其临床采用仍然缓慢.
  • 许多利益相关者认识到AI的潜力,但实际实施面临障碍.

研究的目的:

  • 调查阻碍在医疗保健中采用人工智能的挑战.
  • 提出促进人工智能融入医疗保健组织的战略.

主要方法:

  • 在瑞典一家大型医院使用混合方法的定性案例研究.
  • 对监管机构批准的AI医疗设备的分析和14个专家采访.
  • 应用技术创新系统框架来识别障碍.

主要成果:

  • 知识发展,传播,合法化和资源动员方面的挑战会影响人工智能创新系统.
  • 专门的测试环境对于评估人工智能的安全性和有效性至关重要,促进临床使用.

结论:

  • 人工智能医疗技术的采用可以通过有针对性的战略和支持机制来加速.
  • 促进良性循环有助于临床验证,并为人工智能创造了引人注目的用例.
关键词:
这就是TISIS.人工智能的人工智能是人工智能.医疗保健 医疗保健 医疗保健医疗器械 医疗器械是一种医疗器械.技术创新系统技术创新系统

相关实验视频

Last Updated: Feb 25, 2026

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.7K
  • 搜索指导和创业实验是AI技术开发早期阶段的关键.