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Interdisciplinary Care: The Health Care Team-I01:21

Interdisciplinary Care: The Health Care Team-I

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An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care.
Physicians
The physician's primary responsibility is to diagnose illness and direct the medical or surgical treatment of the condition. The authority to admit patients to a healthcare agency or institution and practice care within that setting is granted to physicians by the healthcare agency or institution...
2.6K
Interdisciplinary Care: The Health Care Team-II01:18

Interdisciplinary Care: The Health Care Team-II

2.2K
An interdisciplinary team includes many healthcare professionals working together and utilizing their skills, knowledge, and expertise to provide holistic and quality patient care. Here are a few more healthcare professionals.
Physical Therapist
A physical therapist (PT) aims to restore function or prevent additional impairment in a patient following an injury or disease. Massage, heat, cold, water, sonar waves, exercises, and electrical stimulation are some treatments used by PTs to treat...
2.2K
Traditional Level Of Health Care System01:26

Traditional Level Of Health Care System

3.4K
The levels of care describe the services provided in the healthcare system. Accordingly, there are six levels of the traditional healthcare system in the US: preventive, primary, secondary, tertiary, restorative, and continuing healthcare. A nurse must understand how the healthcare industry organizes and provides services within these levels of care.
The preventive healthcare service includes tests for screening. Preventive health care services include identifying and reducing disease risk...
3.4K
Introduction To Health Care Delivery System01:18

Introduction To Health Care Delivery System

4.0K
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...
4.0K
Relative Risk01:12

Relative Risk

2.0K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.0K
Health Literacy01:21

Health Literacy

5.2K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
5.2K

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Updated: Jan 23, 2026

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

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医疗保健中的AI:低收入和中等收入国家的机遇和风险

Muhammad Hamid Zaman

    IEEE pulse
    |January 21, 2026
    PubMed
    概括

    人工智能 (AI) 可以在全球范围内改善医疗保健的准入. 然而,人工智能也可能加剧健康不平等,特别是在低收入和中等收入国家.

    科学领域:

    • 医疗信息学 医疗信息学
    • 全球健康 全球健康
    • 人工智能的人工智能

    背景情况:

    • 在全球范围内,获得医疗保健仍然是一个重大挑战.
    • 人工智能 (AI) 整合到医疗保健中既带来了机遇,也带来了风险.
    • 低收入和中等收入国家 (LMICs) 面临着公平获得医疗保健的独特障碍.

    研究的目的:

    • 分析人工智能在全球扩大医疗保健服务的潜力.
    • 调查人工智能加剧现有的健康不平等的风险.
    • 重点关注对LMICs的具体影响.

    主要方法:

    • 对医疗保健中人工智能应用的文献综述.
    • 分析来自不同收入背景的案例研究.
    • 检查影响人工智能采用的伦理和社会经济因素.

    主要成果:

    • 人工智能展示了远程诊断和个性化治疗的潜力,增加了访问.
    • 算法偏差和数据差异可能导致不公平的结果.
    • 在LMICs的实施挑战包括基础设施,成本和劳动力培训.

    结论:

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    • 如果仔细实施,人工智能可以成为增强全球健康公平的强大工具.
    • 解决潜在的偏见和确保公平分配对于医疗保健中的AI至关重要.
    • 需要进行政策干预,以减轻风险,最大限度地提高AI在LMICs中的好处.