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Issues And Trends In Healthcare Delivery System01:29

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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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Standards of Care II01:19

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Nurses bear specific legal responsibilities under several federal statutes, including:
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  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Navigating Artificial Intelligence In Malaysian Healthcare: Research Developments, Ethical Dilemmas, And Governance Strategies.
  1. Home
  3. Research Domains
  5. Information And Computing Sciences
  7. Artificial Intelligence
  9. Knowledge Representation And Reasoning
  11. Navigating Artificial Intelligence In Malaysian Healthcare: Research Developments, Ethical Dilemmas, And Governance Strategies.

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Navigating Artificial Intelligence in Malaysian Healthcare: Research Developments, Ethical Dilemmas, and Governance Strategies.

Kean Chang Phang1, Tze Chang Ng1, Sharon Kaur Gurmukh Singh2

  • 1Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Malaysia.

Asian Bioethics Review
|July 31, 2025

View abstract on PubMed

Summary
This summary is machine-generated.

Artificial Intelligence in Healthcare (AIH) is growing in Malaysia, but lacks specific laws and regulatory expertise. This creates challenges for innovators and raises ethical concerns, necessitating updated guidelines and public education.

Keywords:
Artificial Intelligence in Healthcare (AIH)Ethical challengesEthical oversightLegal framework

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Area of Science:

  • Healthcare Technology
  • Artificial Intelligence
  • Medical Informatics

Background:

  • The integration of Artificial Intelligence in Healthcare (AIH) is rapidly expanding globally.
  • Understanding the regulatory and legal landscape is vital for AIH research and development.
  • Malaysia shows increasing interest and adoption of AIH technologies.

Purpose of the Study:

  • To analyze the trends and developments of AIH in Malaysia.
  • To identify the existing legal and ethical frameworks governing AIH in Malaysia.
  • To explore the challenges faced by AIH innovators and applicators in Malaysia.

Main Methods:

  • Comprehensive literature search across scientific databases, government portals, and news sources.
  • Bibliometric analysis to identify trends and developments in AIH.
Malaysian context
Policy recommendations
Regulatory oversight
  • Review of existing Malaysian legislation applicable to AIH.

    • Main Results:

    • AIH interest in Malaysia has risen consistently since 2017, with 25 reported use cases.
    • Malaysia lacks specific legislation for AIH, relying on 11 existing laws.
    • Regulatory and ethical bodies have insufficient expertise, leading to bureaucratic hurdles and ethical concerns (patient autonomy, privacy, data management, AI robustness, liability).

    Conclusions:

    • Malaysia needs to address the legislative and regulatory gaps in AIH.
    • International ethical guidelines should be adopted for AIH.
    • Enhancing public awareness and promoting AIH research through trials are recommended to improve oversight and foster innovation.