The integration of artificial intelligence improves patient outcomes in emergency medical care, highlighting legal and ethical challenges.
Emergency medical care effectively embarks on new frontiers to augment the levels of diagnostic accuracy, complexity of treatment options, and rapidity of interventions in the critical period. This will compose an approach that the machine can cater to extensive volumes of data very fast, providing its recommendations almost instantaneously and based on the best research evidence, thus improving patient outcome characteristics during on-call situations. In this respect, integrating AI within this domain raises moral, legal, and social issues; all of which will have to be addressed to ensure that the AI is both safe and efficient. Some of the advantages that may result from the provision of AI included within emergency care are: assisting healthcare workers in fast and accurate decision making, resource allocation and optimization and provision of personalized treatment to every patient. When AI systems make decisions without adequate patient input, it may lead to loss in the process of doctor-patient interaction with increased reliance on technology. The privacy and confidential information emerge to a certain extent in connection to the secure management of sensitive patient information by AI systems. Some of the key issue is that the legal complications in emergencies are precarious in nature because there may not always be time to obtain informed consent, which brings into question the respect for patient autonomy and accountability. It brings out a holistic approach in handling such issues and enables the easy setting of liability frameworks that are responsible and well-balanced.
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Harshini et al. (2024) studied this question.
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