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Related Concept Videos

Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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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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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Current Trends in Nursing II01:30

Current Trends in Nursing II

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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,...
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Community Based Intervention01:30

Community Based Intervention

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Community-based interventions in mental health represent a paradigm shift from institution-centered care to treatments embedded within the fabric of local communities. By prioritizing inclusion and leveraging existing societal structures, this approach fosters a supportive environment conducive to addressing mental health challenges while promoting individual dignity and agency.
Foundations of Community Mental Health Programs
Central to the success of community-based interventions is the...
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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Clinical Trials Reimagined: Integrating Community Engagement And Artificial Intelligence.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Clinical Trials Reimagined: Integrating Community Engagement And Artificial Intelligence.

Related Experiment Video

Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring
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Author Spotlight: Automated Deep Brain Stimulation for Parkinson's Disease - Exploring the Possibilities and Challenges of Home Monitoring

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Clinical trials reimagined: Integrating community engagement and artificial intelligence.

Isla S Mackenzie, LaPrincess C Brewer, Alex Zhavoronkov

    Med (New York, N.Y.)
    |June 14, 2025

    View abstract on PubMed

    Summary
    This summary is machine-generated.

    Clinical research is evolving with decentralized trials enhancing participant access and community engagement addressing health disparities. Generative AI is poised to accelerate drug discovery and development for better therapies.

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    Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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    Area of Science:

    • Clinical research innovation
    • Health equity and technology

    Background:

    • The landscape of clinical research is rapidly evolving.
    • There is a growing need for more inclusive and efficient research methodologies.

    Purpose of the Study:

    • To highlight visionary perspectives on the future of clinical research.
    • To explore advancements in decentralized clinical trials, community engagement, and generative AI.

    Main Methods:

    • Collection of expert insights and perspectives.
    • Discussion of emerging trends and technologies in clinical research.

    Main Results:

    • Decentralized clinical trials improve diversity and convenience by bringing research to participants.
    • Community engagement is crucial for addressing health disparities and building trust.
  • Generative AI offers potential for revolutionizing drug discovery and development through automation and precision.

    • Conclusions:

    • Transformative shifts in clinical research are driven by innovation, inclusivity, and technology.
    • These advancements aim to accelerate the delivery of effective therapies to all populations.