Navigating Ai in Healthcare: Examining Medical Liability and the Imperative of Informed Consent in Addressing AI-driven Prescription Errors

With the advent of information technology and Artificial Intelligence the world started to walk towards the technological civilisation. AI has marked an integral place in almost all sectors throughout the world including medical sector. The issue lies in determining the liability for AI generated medical treatments which results in causing harm to the life of the patients. AI driven medical decisions may result in serious injury or error. This paper tries to analyse the challenges on attributing liability i.e. upon AI developers and hospitals employing AI in their treatments. There is no legislation as to medical or tortuous liability on part of AI. But there are numerous cases where the medical professionals sought the help of Artificial Intelligence for medical ambiguities. Some doctors were worried about in trusting AI generated solutions for which it may lead to severe liability and prosecution threats. Technological advancement is essential which facilitates country’s development in every sector. This paper highlights the importance of AI in healthcare and need to impose different levels of liability on these players. It also analyse compensatory liability when fault has occurred. We analyse existing legal frameworks, ethical guidelines, different cases and highlighting the need for a comprehensive approach to AI liability in health care. This research explores the regulatory approaches to medical AI liability across different jurisdictions identifying best practices and areas of improving patient’s safety. At the end this paper seeks to ensure that AI in healthcare is developed and deployed responsibly, prioritizing patient’s safety and well-being while fostering innovation.

Authors

Publication Details

Journal
International Journal For Multidisciplinary Research
Published
2024-11-27
DOI
https://doi.org/10.36948/ijfmr.2024.v06i06.31495
Citations
1
Primary Topic
Artificial Intelligence in Healthcare and Education
Type
article
Field-Weighted Citation Impact
0.12
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article

Navigating Ai in Healthcare: Examining Medical Liability and the Imperative of Informed Consent in Addressing AI-driven Prescription Errors

Shreyshi Maheshwari, S. Sumathi, S - SUYAMBULINGAM
1 citations
International Journal For Multidisciplinary Research
Artificial Intelligence in Healthcare and Education
0.12
article

Navigating Ai in Healthcare: Examining Medical Liability and the Imperative of Informed Consent in Addressing AI-driven Prescription Errors

Shreyshi Maheshwari, S. Sumathi, S - SUYAMBULINGAM
article en
1 citations

Abstract

With the advent of information technology and Artificial Intelligence the world started to walk towards the technological civilisation. AI has marked an integral place in almost all sectors throughout the world including medical sector. The issue lies in determining the liability for AI generated medical treatments which results in causing harm to the life of the patients. AI driven medical decisions may result in serious injury or error. This paper tries to analyse the challenges on attributing liability i.e. upon AI developers and hospitals employing AI in their treatments. There is no legislation as to medical or tortuous liability on part of AI. But there are numerous cases where the medical professionals sought the help of Artificial Intelligence for medical ambiguities. Some doctors were worried about in trusting AI generated solutions for which it may lead to severe liability and prosecution threats. Technological advancement is essential which facilitates country’s development in every sector. This paper highlights the importance of AI in healthcare and need to impose different levels of liability on these players. It also analyse compensatory liability when fault has occurred. We analyse existing legal frameworks, ethical guidelines, different cases and highlighting the need for a comprehensive approach to AI liability in health care. This research explores the regulatory approaches to medical AI liability across different jurisdictions identifying best practices and areas of improving patient’s safety. At the end this paper seeks to ensure that AI in healthcare is developed and deployed responsibly, prioritizing patient’s safety and well-being while fostering innovation.

International Journal For Multidisciplinary ResearchVol. 6(6)
Industry, innovation and infrastructure
Openalex Percentile: Top 47%
Artificial Intelligence in Healthcare and Education
0.12
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