Empowering the Patient Journey: The Role of Generative AI in Healthcare

Empowering the Patient Journey: The Role of Generative AI in Healthcare

Authors

  • Sunil Kumar Sehrawat

Abstract

In today's healthcare landscape, there is a growing emphasis on empowering patients to actively engage in their health journeys. Central to this paradigm shift is the integration of Generative Artificial Intelligence (AI) technologies, which hold immense potential to revolutionize the patient experience. Generative AI, with its capability to create personalized content and solutions, offers a unique opportunity to enhance patient engagement, improve treatment efficacy, and optimize healthcare processes.This article provides an in-depth exploration of the multifaceted role of Generative AI in healthcare. It examines how this technology is being utilized across various stages of the patient journey, from initial diagnosis to ongoing treatment and post-care support. Examples include personalized treatment plans generated through advanced data analysis, virtual health assistants that provide real-time guidance and support, and predictive analytics models that anticipate potential health issues.

However, alongside its promises, the integration of Generative AI in healthcare also raises ethical concerns and challenges. Issues such as patient privacy, algorithmic transparency, and bias mitigation must be carefully addressed to ensure responsible and equitable implementation. By harnessing the capabilities of Generative AI in healthcare, providers can empower patients to become active participants in their own care, fostering a collaborative and personalized approach to healthcare delivery. This article aims to shed light on the transformative potential of Generative AI and the critical considerations that must accompany its adoption in healthcare settings.

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Published

2023-07-15

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How to Cite

Empowering the Patient Journey: The Role of Generative AI in Healthcare. (2023). International Journal of Sustainable Development Through AI, ML and IoT, 2(2), 1-18. https://ijsdai.com/index.php/IJSDAI/article/view/43

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