The ethical implications of deploying Large Language Models (LLMs) in healthcare through a systematic review.
By Priyanjana Pramanik, MSc.Reviewed by Lily Ramsey, LLMJul 10 2024 In a recent review article published in npj Digital Medicine , researchers investigated the ethical implications of deploying Large Language Models in healthcare through a systematic review.
This technology has rapidly expanded into various sectors, including medicine and healthcare, showing promise for clinical decision-making, diagnosis, and patient communication tasks. In this systematic review, researchers mapped the ethical landscape surrounding the role of LLMs in healthcare to identify potential benefits and harms to inform future discussions, policies, and guidelines seeking to govern ethical LLM use.
After initial screening of titles and abstracts, data were extracted and coded using a structured form. Quality appraisal focused descriptively on procedural quality criteria to distinguish peer-reviewed material, critically engaging with findings for validity and comprehensiveness during reporting. Patient support applications focus on LLMs aiding individuals in accessing medical information, managing symptoms, and navigating healthcare systems.
From a public health perspective, LLMs offer opportunities to monitor disease outbreaks, improve health information access, and enhance public health communication.
Artificial Intelligence Language Medicine Public Health Research Technology
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