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相关概念视频

Patient-centered Care01:13

Patient-centered Care

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Patient-centered care involves delivering care beyond inpatient hospitalization. Reflective practice can enhance a patient-centered approach. Reflective practice is a process of reasoning that considers all aspects of the present situation, including practicalities, learning from personal practice, and consideration of patient needs. Patients appreciate care decisions made while considering their input. Involving the patient in their care provides the patient with a sense of contribution rather...
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Healthcare Agencies II01:17

Healthcare Agencies II

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There are various healthcare agencies in the United States—some of which are managed by religious institutions and others by different government branches.
Parish nursing is a growing specialty nursing profession that focuses on holistic healthcare, health promotion, and illness prevention. It blends professional nursing practice with a health ministry, focusing on health and healing within the context of a Christian community. Parish nurses serve as health educators, referral sources,...
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Methods of Documentation VI: Case Management Model01:15

Methods of Documentation VI: Case Management Model

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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...
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Healthcare Agencies I01:18

Healthcare Agencies I

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Healthcare agencies provide healthcare services to people. In the United States, voluntary agencies are often non-profit centers sponsored by donations, grants, or fundraisers. One such organization is Meals on Wheels, which provides meals to the elderly and homebound. The American Heart Association and the American Lung Association are other non-profit community organizations. Doctors and nurses are frequently active members of these organizations, which offer health checks and educational...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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...
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Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

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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...
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相关实验视频

Updated: Feb 26, 2026

Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness

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通过大型语言模型驱动的提供者目录,实现基于价值的护理中的事件级透明度.

Amol Kodan1

  • 1Public Health, Monroe University, New York City, USA.

Cureus
|February 25, 2026
PubMed
概括

大型语言模型 (LLM) 可以改善基于价值的护理 (VBC) 的医疗保健提供者目录. 基于LLM的聊天机器人提高了透明度和导航,尽管排名准确性需要优化才能广泛使用.

科学领域:

  • 医疗信息学 医疗信息学
  • 医疗保健中的人工智能

背景情况:

  • 传统的提供者目录是美国医疗保健系统的关键但脆弱的组成部分.
  • 当前目录中的缺陷,例如缺乏成本/风险背景和不准确的数据,限制了透明度和基于价值的护理 (VBC) 的有效性.
  • 基于事件的支付模式受到不充分的供应商选择工具的阻碍.

研究的目的:

  • 为了评估一个大型语言模型 (LLM) 驱动的提供者目录聊天机器人,用于基于事件的护理导航.
  • 使用结构化合成数据集评估四个LLM (GPT-3.5-turbo,GPT-4o-mini,GPT-4o,GPT-5.1) 的性能.
  • 在输出有效性,情节识别,提供者排名,数值忠实性和幻觉风险方面检查LLM性能.

主要方法:

  • 利用了87个自然语言测试场景,使用严格结构化的合成成本和性能数据集.
  • 在相同的确定性条件下评估了四种广泛使用的LLM.
  • 引入了对排名正确性的修订版本,优先考虑准确的情节识别.

主要成果:

  • 所有评估的LLM都表现出高度的情节识别准确性,接近91%.
  • 在下游供应商对模型的排名可靠性和数值精度中观察到大量的变化.
  • 启用LLM的目录显示了在VBC设置中提高透明度和用户体验的潜力.
关键词:
人工智能的人工智能是人工智能.基于事件的护理.医疗保健透明度 医疗保健的透明度大型语言模型.提供商目录提供商目录.基于价值的护理是基于价值的.

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结论:

  • 在LLM驱动的提供者目录中,有望提高基于价值的护理中的透明度和导航.
  • 虽然事件识别很强,但在大规模部署之前,需要进一步优化供应商排名准确性和数值准确性.
  • 这些初步发现表明,通过解决传统提供商目录的局限性,LLM可以有意义地增强VBC.