What are the main ethical concerns when using AI in patient communication?

Ethical considerations include protecting patient data privacy, addressing potential algorithmic bias that could lead to unequal treatment, and avoiding the dehumanization of patient care by ensuring AI supplements rather than replaces human interaction [3, 10, 16].

How can healthcare providers build trust in AI-powered communication systems?

Building trust involves transparency about AI's role, clear communication of its limitations, and ensuring patients can always access human support [3]. User-friendly interfaces and human oversight are also crucial for fostering trust [3].

Why is patient involvement important in designing AI communication systems?

Involving patients in the design process ensures that AI communication systems meet their specific needs and preferences, leading to better outcomes and greater acceptance [3, 2]. Co-designing AI algorithms with patients and healthcare workers can also help ensure they are useful and trustworthy [7].

What measures should be taken to ensure data privacy when using AI in patient communication?

Protecting patient data requires strong security measures like encryption and access controls to comply with regulations such as HIPAA [1, 3, 12]. Data anonymization and robust data security protocols are essential to minimize the risks of cybersecurity breaches and protect confidential patient information [12].

How can algorithmic bias in AI-powered communication be addressed?

To minimize bias, AI tools should be tested regularly for fairness and trained on diverse and representative data to avoid discrimination against any patient group [3, 13]. Clear policies on data security, patient privacy, and AI use are also important [1].

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Ethical AI in Healthcare

By Harmoni Team July 18, 2025 1 min read 0 words

AIhealthcareethicspatient communicationtechnologybiastrusttransparency

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