ChatGPT and ethics in healthcare facilities: an overview and innovations in technical efficiency analysis

Abstract

Generative AI, such as OpenAI's ChatGPT, uses algorithms and models trained on vast amounts of textual data to understand and produce human-like responses. This technology has the potential to revolutionise healthcare management by improving efficiency, convenience, and personalization. However, the literature on applying ChatGPT and ethics to analyse healthcare facility efficiency is lacking. This paper aims to address this gap by conducting a scoping literature review. With the goal of exploring the application of ChatGPT in healthcare facilities, this review begins by outlining the key technologies that underpin ChatGPT and discussing the current state of efficient deployment infrastructure in various crucial fields. We then investigate the use of generative AI and LLMs in healthcare facilities. Subsequently, we examine how ChatGPT plays a pivotal role in enhancing efficiency in healthcare facility management. This entails analyzing its effect on various aspects of management processes. Following this, we scrutinise the existing challenges within smart healthcare and propose potential solutions to address them, such as ethics and trust. Finally, we look towards the future, evaluating the potential advancements and prospects of ChatGPT in improving the efficiency of healthcare facilities. We deduce that ChatGPT is poised to become an integral component within healthcare establishments as it continues to advance and becomes more finely adapted to the distinct environments and demands of the medical sector. We anticipate this as the legal, policy, and regulatory structures relevant to its application start to take shape.