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Related Concept Videos

Ethical Standards I01:25

Ethical Standards I

The American Nurses Association (ANA) created and implemented the first nationally accepted Code of Ethics for Nurses with Interpretive Statements. The Code of Ethics is a living document regularly updated by the ANA and establishes an ethical standard that is non-negotiable for nurses in all roles and settings.
The Code of Ethics provisions outline the nurse's duty to the patient, the healthcare team, the profession, and society. The Code's fundamental principles include advocacy,...
Ethical Standards II01:23

Ethical Standards II

Ethical standards are the backbone of nursing practice, guiding nurses as they interact with patients, families, and colleagues. These standards are crucial for providing safe, empathetic care centered on the patient's needs.
Nurses are entrusted with upholding various ethical principles and standards. Nurses forge solid therapeutic relationships using trust, empathy, autonomy, confidentiality, and professional competence.
Confidentiality is crucial, embodying respect for individual privacy and...
Legal Guidelines for Documentation01:06

Legal Guidelines for Documentation

The legal guidelines for nursing documentation are essential for ensuring accurate, professional, and ethical recording of patient care. The guidelines are discussed here:
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Purpose of Health Records I01:11

Purpose of Health Records I

The vital purpose of health records is to provide a complete and accurate account of a patient's medical history, including communication, diagnostic and therapeutic orders, care planning, research, and quality review.
Here's a breakdown of how health records serve these purposes:
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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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AI Privacy and Security in Healthcare: A Systematic Literature Review.

Diane Dolezel1, Karima Lalani2, Valerie Watzlaf3

  • 1Health Informatics & Information Management Department, Texas State University, Round Rock, Texas, USA.

International Journal of Telerehabilitation
|July 2, 2026
PubMed
Summary

Artificial intelligence in healthcare raises privacy and security issues. A review highlights patient data privacy, federated learning, and encryption as key themes, emphasizing the need for integrated governance.

Keywords:
Artificial intelligencePrivacySecuritySystematic reviewTelerehabilitation

Related Experiment Videos

Area of Science:

  • Health Informatics
  • Artificial Intelligence in Healthcare
  • Cybersecurity in Medicine

Background:

  • Artificial intelligence (AI) is increasingly integrated into telemedicine and telerehabilitation services.
  • Despite advancements, significant privacy and security challenges remain in AI-driven healthcare applications.

Purpose of the Study:

  • To systematically review and synthesize empirical evidence on privacy and security strategies within healthcare.
  • To specifically focus on approaches relevant to distributed home care settings.

Main Methods:

  • A systematic literature review was conducted, identifying 80 relevant studies published between 2019 and 2025.
  • Latent Dirichlet Allocation (LDA) topic modeling was employed to analyze and categorize privacy and security themes within the selected studies.

Main Results:

  • A majority of studies (66) focused on privacy, while fewer (17) addressed security, and only three covered both.
  • Key themes identified include patient data privacy, federated learning for medical imaging, encrypted training, secure computation, and healthcare data governance.
  • While many studies proposed privacy-preserving techniques like federated learning and differential privacy, nearly half were not conducted in actual healthcare environments, limiting applicability to clinical workflows.

Conclusions:

  • Effective security for healthcare AI necessitates a comprehensive, multi-layered governance framework.
  • Broader global collaboration and the seamless integration of privacy and security measures into standard clinical workflows are crucial for secure AI implementation in healthcare.