Volume 17 - Supplement of 11th Annual Iranian Congress of Medical Ethics (Oral Presentation)
IJMEHM 2024, 17 - Supplement of 11th Annual Iranian Congress of Medical Ethics (Oral Presentation): 1-2 |
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Amanzadeh M, Hamedan M. Ethics and Health Chatbots. IJMEHM 2024; 17 (S1) :1-2
URL: http://ijme.tums.ac.ir/article-1-6858-en.html
URL: http://ijme.tums.ac.ir/article-1-6858-en.html
1- Assistant Professor of Medical Informatics, Department of Health Information Management, Ardabil University of Medical Sciences, Ardabil, Iran
2- PhD in Health Information Management, Ardabil University of Medical Sciences, Ardabil, Iran
2- PhD in Health Information Management, Ardabil University of Medical Sciences, Ardabil, Iran
Abstract: (79 Views)
Health chatbots, powered by artificial intelligence (AI), are revolutionizing healthcare by providing accessible, personalized, and efficient health-related assistance. These tools have found applications in symptom checking, mental health support, and even aiding in clinical decision-making. While their potential to enhance healthcare efficiency is significant, the use of medical chatbots raises significant ethical considerations that must be considered and addressed. The aim of this study is to investigate the ethical challenges and considerations of health chatbots. In this article, we reviewed the literature on the ethical considerations of health chatbots. PubMed, Scopus, Web of Science, and Google Scholar were searched using related keywords such as "Chatbot," "conversational agent," "ethics," "medical," and "healthcare." Relevant studies were selected and reviewed based on specified inclusion/exclusion criteria. The review identified several ethical concerns associated with health chatbots: 1) Privacy and Data Security: Patient data collected by chatbots are vulnerable to breaches, raising concerns about confidentiality and misuse. 2) Accuracy and Reliability: Errors in chatbot responses can lead to misdiagnoses or inappropriate advice, potentially harming patients. 3) Bias and Equity: AI algorithms may perpetuate biases present in training datasets, leading to unequal care for certain demographic groups. 4) Accountability and Responsibility: Unclear legal frameworks complicate the allocation of responsibility in cases of harm. 5) Autonomy and Trust: Overreliance on chatbots may diminish the human element of care, affecting trust and patient autonomy in decision-making. While health chatbots offer substantial benefits in accessibility and efficiency, addressing their ethical challenges is imperative. A robust ethical framework emphasizing privacy, transparency, fairness, and accountability is needed to mitigate risks. Continuous monitoring, user education, and adherence to evolving AI regulations can ensure safe and equitable integration of chatbots in healthcare.
Type of Study: Ethics Congress |
Subject:
Congress of Ethics
Received: 2025/02/2 | Accepted: 2024/12/30 | Published: 2024/12/30
Received: 2025/02/2 | Accepted: 2024/12/30 | Published: 2024/12/30
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