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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.
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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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Secondary healthcare is offered by a specialist, generally in hospitals or clinics for patients referred by primary healthcare providers. It occurs when a person has an illness or injury that requires specific medical care. Secondary care is often referred to as acute care. Secondary care can range from uncomplicated care to repair a minor laceration or treat a strep throat infection to more complicated emergent care, such as treating a head injury sustained in an automobile accident. Whatever...
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Health Information Technology (HIT)
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Machine Learning in Primary Health Care: The Research Landscape.

Jernej Završnik1,2, Peter Kokol1,3, Bojan Žlahtič3

  • 1Community Healthcare Center Dr. Adolf Drolc Maribor, 2000 Maribor, Slovenia.

Healthcare (Basel, Switzerland)
|July 12, 2025
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Summary
This summary is machine-generated.

Artificial intelligence and machine learning are transforming primary health care by enhancing early diagnosis and patient communication. This research maps the key global players and emerging themes in this rapidly advancing field.

Keywords:
machine learningprimary health careresearch landscapesynthetic knowledge synthesis

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Area of Science:

  • Health Informatics
  • Artificial Intelligence
  • Machine Learning

Background:

  • Digital transformation in healthcare relies on AI and machine learning.
  • These technologies aim to enhance primary health system efficiency, effectiveness, equity, and responsiveness.
  • The study focuses on the role of AI and ML in primary healthcare services.

Purpose of the Study:

  • To identify leading countries, institutions, and funding sponsors in AI and ML for primary healthcare.
  • To analyze publication trends and key research themes.
  • To understand the application of AI and ML in addressing diagnostic challenges and improving patient care.

Main Methods:

  • Synthetic knowledge synthesis.
  • Bibliometric analysis.
  • Thematic analysis.

Main Results:

  • The United States and the United Kingdom are the most productive countries.
  • Key journals include Plos One and BJM Open; leading funders are the National Institutes of Health (USA) and the National Natural Science Foundation of China.
  • Publication trends show positive, exponential growth, with main themes including natural language processing for clinical decision-making, primary care optimization, social determinants of health, and chatbot applications.

Conclusions:

  • Machine learning in primary care seeks to reduce missed diagnostic opportunities.
  • AI applications aim to minimize adverse patient effects.
  • The research highlights the growing impact of AI and ML on primary healthcare delivery and patient outcomes.