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Interdisciplinary Care: The Health Care Team-I01:21

Interdisciplinary Care: The Health Care Team-I

2.6K
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...
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Traditional Level Of Health Care System01:26

Traditional Level Of Health Care System

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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...
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Introduction To Health Care Delivery System01:18

Introduction To Health Care Delivery System

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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...
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Relative Risk01:12

Relative Risk

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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...
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Health Literacy01:21

Health Literacy

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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...
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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

Published on: May 15, 2020

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低・中所得国におけるヘルスケア分野のAI：機会とリスク

Muhammad Hamid Zaman

    IEEE pulse
    |January 21, 2026
    PubMed
    まとめ

    人工知能（AI）は、世界的に医療へのアクセスを改善することができます。しかし、AIは特に低・中所得国において、健康の不平等を悪化させる可能性もあります。

    科学分野:

    • ヘルスインフォマティクス
    • グローバルヘルス
    • 人工知能

    背景:

    • 医療へのアクセスは、依然として世界的に大きな課題です。
    • ヘルスケアへの人工知能（AI）の統合は、機会とリスクの両方をもたらします。
    • 低・中所得国（LMIC）は、公平な医療アクセスに対する独自の障壁に直面しています。

    研究 の 目的:

    • AIが世界的に医療アクセスを拡大する可能性を分析すること。
    • AIが既存の健康格差を悪化させるリスクを調査すること。
    • LMICへの具体的な影響に焦点を当てること。

    主な方法:

    • ヘルスケアにおけるAIアプリケーションの文献レビュー。
    • 様々な所得水準の設定からのケーススタディの分析。
    • AI導入に影響を与える倫理的および社会経済的要因の検討。

    主要な成果:

    • AIは遠隔診断と個別化治療の可能性を示し、アクセスを向上させます。
    • アルゴリズムのバイアスとデータの不一致は、不公平な結果につながる可能性があります。
    • LMICにおける実装の課題には、インフラ、コスト、労働力トレーニングが含まれます。
    キーワード:
    人工知能ヘルスケア開発途上国健康の不平等医療アクセス

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    結論:

    • AIは、慎重に実装されれば、グローバルヘルスエクイティを強化するための強力なツールとなり得ます。
    • 潜在的なバイアスに対処し、公平な配布を確保することが、ヘルスケアにおけるAIにとって重要です。
    • LMICにおけるAIのリスクを軽減し、利益を最大化するためには、政策介入が必要です。