Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/122773
Title: Balancing act : the dual impacts of AI and healthcare algorithms on patient welfare in telemedicine
Authors: Mitera, Blanka
Harasimowicz, Karolina
Keywords: Artificial intelligence -- Medical applications
Medicine -- Data processing
Telecommunication in medicine
COVID-19 Pandemic, 2020 -- Influence
Medical laws and legislation
Issue Date: 2024
Publisher: University of Piraeus. International Strategic Management Association
Citation: Mitera, B., & Harasimowicz, K. (2024). Balancing act : the dual impacts of AI and healthcare algorithms on patient welfare in telemedicine. European Research Studies Journal, 27(2), 243-254.
Abstract: PURPOSE: Artificial Intelligence (AI) technology brings many benefits to medicine, the growing importance of the application of AI in this field cannot be ignored. In this article we face of ethical considerations and challenges, ethical and responsible integration of AI can take patient care to new heights, leading to better outcomes, greater accessibility, and ultimately a more patient-centric healthcare system.
DESIGN/METHODOLOGY/APPROACH: The comperative method has been used to evaluate emergence of Artificial Intelligence in healthcare that holds enormous promise to transform treatment and the patient experience.
FINDINGS: From improved diagnostics and personalised care to streamlined administrative processes and remote patient monitoring. This research paper established that AI-powered innovations have the potential to revolutionise the healthcare landscape.
PRACTICAL IMPLICATIONS: As it turns out, AI not only has the potential to improve the quality and efficiency of healthcare, but also to create a more human, individual experience for patients.
ORIGINALITY/VALUE: While AI technology brings many benefits to medicine, the growing importance of ethics in the application of AI in this field cannot be ignored. It is necessary to create clear guidelines on the use of patient data, privacy and security, as well as responsibility for decisions made by AI.
URI: https://www.um.edu.mt/library/oar/handle/123456789/122773
Appears in Collections:European Research Studies Journal, Volume 27, Issue 2

Files in This Item:
File Description SizeFormat 
ERSJ27(2)A15.pdf336.71 kBAdobe PDFView/Open


Items in OAR@UM are protected by copyright, with all rights reserved, unless otherwise indicated.